Triple

T15261377
Position Surface form Disambiguated ID Type / Status
Subject Hart E364781 entity
Predicate locatedNear P294 FINISHED
Object Aldershot E60600 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: Aldershot | Statement: [Hart, locatedNear, Aldershot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aldershot
Context triple: [Hart, locatedNear, Aldershot]
  • A. Aldershot chosen
    Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
  • B. Aldershot Garrison
    Aldershot Garrison is a major British Army military base and training area located in Aldershot, Hampshire, often referred to as the "Home of the British Army."
  • C. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • D. Woolwich
    Woolwich is a largely rural township in Ontario, Canada, known for its farming communities, Mennonite heritage, and small towns such as Elmira and St. Jacobs.
  • E. Waterlooville
    Waterlooville is a town in Hampshire, England, situated north of Portsmouth and known primarily as a residential and commuter area.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fb8b30819096d31ba5884715c9 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:14 a.m.