Triple

T18004796
Position Surface form Disambiguated ID Type / Status
Subject Liss E430717 entity
Predicate nearbyTown P3883 FINISHED
Object Haslemere NE NERFINISHED

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: Haslemere | Statement: [Liss, nearbyTown, Haslemere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haslemere
Context triple: [Liss, nearbyTown, Haslemere]
  • A. Haslemere chosen
    Haslemere is a historic market town in the southwest of Surrey, England, near the borders with Hampshire and West Sussex.
  • B. Newton Abbot
    Newton Abbot is a market town in South Devon, England, known historically for its railway industry and as a commercial hub for the surrounding rural area.
  • C. Sellindge
    Sellindge is a rural village in Kent, England, situated between Ashford and Folkestone and known for its community amenities and surrounding countryside.
  • D. Selsey
    Selsey is a coastal town in West Sussex, England, historically notable as the original seat of the Anglo-Saxon bishops of the Kingdom of Sussex before the see moved to Chichester.
  • E. Rustington
    Rustington is a large coastal village and civil parish on the English Channel in the Arun District of West Sussex, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3eb1f748190904c8894d22cf85f completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.