Triple

T11079934
Position Surface form Disambiguated ID Type / Status
Subject Hayes railway station E261963 entity
Predicate hasStationCode P1289 FINISHED
Object HYS E315465 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: HYS | Statement: [Hayes railway station, hasStationCode, HYS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HYS
Context triple: [Hayes railway station, hasStationCode, HYS]
  • A. HYS chosen
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • B. HYC
    HYC is the National Rail station code for Hyde Central railway station in Greater Manchester, England.
  • C. HYB
    HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
  • D. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • E. HSH
    HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999603948190934bca3a9151d726 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e77a78288190aa76912e0fa821b5 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.