Triple

T17313395
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Public Library E420358 entity
Predicate abbreviation P43 FINISHED
Object OBA
OBA is the main public library organization of Amsterdam, known for its large central library and network of branches offering books, media, and cultural programs to residents and visitors.
 E1261970 NE FINISHED

How this triple was built (4 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: OBA | Statement: [Amsterdam Public Library, abbreviation, OBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OBA
Context triple: [Amsterdam Public Library, abbreviation, OBA]
  • A. OBN
    OBN is the National Rail station code for Oban railway station in Argyll and Bute, Scotland.
  • B. OBN
    OBN is the three-letter IATA airport code assigned to Oban Airport in Scotland.
  • C. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • D. OLBA
    OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
  • E. OBY
    OBY is the National Rail station code for Oyster Bay railway station.
  • 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: OBA
Triple: [Amsterdam Public Library, abbreviation, OBA]
Generated description
OBA is the main public library organization of Amsterdam, known for its large central library and network of branches offering books, media, and cultural programs to residents and visitors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OBA
Target entity description: OBA is the main public library organization of Amsterdam, known for its large central library and network of branches offering books, media, and cultural programs to residents and visitors.
  • A. OBN
    OBN is the National Rail station code for Oban railway station in Argyll and Bute, Scotland.
  • B. OBN
    OBN is the three-letter IATA airport code assigned to Oban Airport in Scotland.
  • C. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • D. OLBA
    OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
  • E. OBY
    OBY is the National Rail station code for Oyster Bay railway station.
  • F. None of above. chosen

Provenance (5 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399a4194819091d34cd3fffc8072 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e6e830819097b33d6b99232727 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a01853590d081908f6523c55e4f610d completed May 11, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a01860e39788190bbf5ca5188352d95 completed May 11, 2026, 7:32 a.m.
Created at: April 10, 2026, 5:43 a.m.