Triple

T5554578
Position Surface form Disambiguated ID Type / Status
Subject Woolwich Arsenal railway station E145606 entity
Predicate dlrStationCode P1289 FINISHED
Object WLA E433718 NE FINISHED

How this triple was built (3 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: WLA | Statement: [Woolwich Arsenal railway station, dlrStationCode, WLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WLA
Context triple: [Woolwich Arsenal railway station, dlrStationCode, WLA]
  • A. WLA chosen
    WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • B. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • C. WAL
    WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
  • D. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • E. LAWA
    LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dlrStationCode
Context triple: [Woolwich Arsenal railway station, dlrStationCode, WLA]
  • A. hasStationCode chosen
    Indicates that an entity is associated with a specific station identification code.
  • B. stationNumber
    Indicates the specific station identifier or code assigned to an entity within a system or network.
  • C. railwayStationCodeFor
    Indicates that one entity is the designated railway station code corresponding to a particular railway station.
  • D. stationName
    Indicates the name assigned to a particular station in the relationship.
  • E. operatedStation
    Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
  • F. None of above.

Provenance (4 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffaf4fc8190bf27014d21954a70 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283878d88190ac60064e604aa002 completed March 22, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69c01b10bbf8819098655839c03b7832 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.