Triple

T11026115
Position Surface form Disambiguated ID Type / Status
Subject Huntington station (LIRR) E260622 entity
Predicate hasStationCode P1289 FINISHED
Object HNT
HNT is the station code used by the Long Island Rail Road for Huntington station in New York.
E900608 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: HNT | Statement: [Huntington station (LIRR), hasStationCode, HNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNT
Context triple: [Huntington station (LIRR), hasStationCode, HNT]
  • A. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • B. HTE
    HTE is the National Rail station code for Hatch End railway station in northwest London, England.
  • C. NHT
    NHT is the IATA airport code for RAF Northolt, a Royal Air Force station in West London that also handles some civil and governmental air traffic.
  • D. Hdn
    Hdn is the station code for Handen station, a commuter rail stop in the Stockholm County region of Sweden.
  • E. Haynt
    Haynt was a Yiddish-language newspaper that served as an important platform for Jewish journalism and literature in early 20th-century Eastern Europe.
  • 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: HNT
Triple: [Huntington station (LIRR), hasStationCode, HNT]
Generated description
HNT is the station code used by the Long Island Rail Road for Huntington station in New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HNT
Target entity description: HNT is the station code used by the Long Island Rail Road for Huntington station in New York.
  • A. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • B. HTE
    HTE is the National Rail station code for Hatch End railway station in northwest London, England.
  • C. NHT
    NHT is the IATA airport code for RAF Northolt, a Royal Air Force station in West London that also handles some civil and governmental air traffic.
  • D. Hdn
    Hdn is the station code for Handen station, a commuter rail stop in the Stockholm County region of Sweden.
  • E. Haynt
    Haynt was a Yiddish-language newspaper that served as an important platform for Jewish journalism and literature in early 20th-century Eastern Europe.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d0cd988190a7b21d7bdc3109ce completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37523f8548190ad40fa76660232a8 completed April 18, 2026, 12:12 p.m.
NEDg Description generation batch_69e37ab860f48190808ba0076cfa9c98 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e3864dd0d48190b3fd81381f5d7418 completed April 18, 2026, 1:25 p.m.
Created at: April 8, 2026, 9:25 p.m.