Triple

T17233316
Position Surface form Disambiguated ID Type / Status
Subject Tom Hunter station E418299 entity
Predicate hasStationCode P1289 FINISHED
Object TH
TH is the station code used to identify Tom Hunter station on the London Underground network.
 E1257028 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: TH | Statement: [Tom Hunter station, hasStationCode, TH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TH
Context triple: [Tom Hunter station, hasStationCode, TH]
  • A. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • B. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • C. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • D. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • E. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • 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: TH
Triple: [Tom Hunter station, hasStationCode, TH]
Generated description
TH is the station code used to identify Tom Hunter station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TH
Target entity description: TH is the station code used to identify Tom Hunter station on the London Underground network.
  • A. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • B. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • C. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • D. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • E. TR
    TR is the IATA airport code for Singapore-based low-cost airline Scoot.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df9558481909e2e50ae0b02acf7 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016760873c8190bab70ad4ca0c6d8e completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016838367c8190b5117d5314f71a16 completed May 11, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0168976af88190a5f839a93538ac6f completed May 11, 2026, 5:26 a.m.
Created at: April 10, 2026, 5:39 a.m.