Triple

T11829890
Position Surface form Disambiguated ID Type / Status
Subject Waterford F.C. E281357 entity
Predicate shortCode P83434 FINISHED
Object WAT
WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
E950032 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WAT | Statement: [Waterford F.C., shortCode, WAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAT
Context triple: [Waterford F.C., shortCode, WAT]
  • A. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • B. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • C. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • D. WADT
    WADT is the ICAO airport code for Tambolaka Airport, a regional airport serving the island of Sumba in Indonesia.
  • E. Wah
    Wah is a city in Pakistan’s Punjab province, known for its industrial significance and proximity to major military and educational institutions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WAT
Triple: [Waterford F.C., shortCode, WAT]
Generated description
WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WAT
Target entity description: WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
  • A. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • B. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • C. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • D. WADT
    WADT is the ICAO airport code for Tambolaka Airport, a regional airport serving the island of Sumba in Indonesia.
  • E. Wah
    Wah is a city in Pakistan’s Punjab province, known for its industrial significance and proximity to major military and educational institutions.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shortCode
Context triple: [Waterford F.C., shortCode, WAT]
  • A. shortCodeType
    Indicates that one entity is classified as a specific type or category of short code associated with another entity.
  • B. shortFormType chosen
    Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
  • C. shortFormat
    Indicates that something is presented in a condensed or abbreviated form compared to its full or standard representation.
  • D. shortFormLanguage
    Indicates that one entity is a shortened or abbreviated language representation or code corresponding to another language entity.
  • E. wasShortened
    Indicates that something has been made shorter in length, duration, or extent compared to its original form.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
NEDg Description generation batch_69f170034b488190a6976d3333823caa completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17805325881908b98eb9c8fc59778 completed April 29, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.