Triple

T6679512
Position Surface form Disambiguated ID Type / Status
Subject Hatch End E151940 entity
Predicate hasRailCode P18202 FINISHED
Object HTE
HTE is the National Rail station code for Hatch End railway station in northwest London, England.
 E611646 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: HTE | Statement: [Hatch End, hasRailCode, HTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HTE
Context triple: [Hatch End, hasRailCode, HTE]
  • A. EHTE
    EHTE is the ICAO airport code for Teuge Airport, a general aviation airfield in the Netherlands.
  • B. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • C. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • D. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • E. HTG
    HTG is the three-letter ISO 4217 currency code for the Haitian gourde, the official currency of Haiti.
  • 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: HTE
Triple: [Hatch End, hasRailCode, HTE]
Generated description
HTE is the National Rail station code for Hatch End railway station in northwest London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HTE
Target entity description: HTE is the National Rail station code for Hatch End railway station in northwest London, England.
  • A. EHTE
    EHTE is the ICAO airport code for Teuge Airport, a general aviation airfield in the Netherlands.
  • B. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • C. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • D. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • E. HTG
    HTG is the three-letter ISO 4217 currency code for the Haitian gourde, the official currency of Haiti.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f6813c8190906f619b4276a232 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a9fda4819096d4bd3e8133cecb completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8b1e1f48190bc9058a8a21a4a62 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9441d74819098f0639a29fdeb5e completed March 27, 2026, 9:40 p.m.
Created at: March 27, 2026, 2:03 p.m.