Triple

T14127801
Position Surface form Disambiguated ID Type / Status
Subject Herne Hill railway station E340079 entity
Predicate hasStationCode P1289 FINISHED
Object HNH E1081395 NE FINISHED

How this triple was built (2 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: HNH | Statement: [Herne Hill railway station, hasStationCode, HNH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNH
Context triple: [Herne Hill railway station, hasStationCode, HNH]
  • A. HNH chosen
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • B. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • C. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • D. HN
    HN is the vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • E. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e2b0248190ba40aa8395355052 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.