Triple

T25305819
Position Surface form Disambiguated ID Type / Status
Subject Stratford railway depot E634478 entity
Predicate railwayDepotCode P18202 FINISHED
Object SF
SF is the official depot code used within the British railway system to identify Stratford railway depot in London.
E1676975 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: SF | Statement: [Stratford railway depot, railwayDepotCode, SF]
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: SF
Triple: [Stratford railway depot, railwayDepotCode, SF]
Generated description
SF is the official depot code used within the British railway system to identify Stratford railway depot in London.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwayDepotCode
Context triple: [Stratford railway depot, railwayDepotCode, SF]
  • A. depot
    Indicates that an entity serves as a storage or distribution center location for another entity, such as goods, vehicles, or resources.
  • B. hasRailwayStationRole
    Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
  • C. railroadCodeFor chosen
    Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
  • D. railwayDivisionHeadquartersOf
    Indicates that one location serves as the administrative headquarters for a specified railway division.
  • E. isRailwayStation
    Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
  • F. None of above.

Provenance (6 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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4939a96e88190baf228db51101802 completed May 1, 2026, 11:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075df16088190965fe1653c41ce54 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076ee49ec8190841090653ecd4079 completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10787f645481908b2db12a9a14697c completed May 22, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69f4806d93dc8190b9dff4c63186faff completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 1:25 p.m.