Triple

T14077530
Position Surface form Disambiguated ID Type / Status
Subject Teston E338775 entity
Predicate nearbySettlement P350 FINISHED
Object Yalding E338959 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: Yalding | Statement: [Teston, nearbySettlement, Yalding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yalding
Context triple: [Teston, nearbySettlement, Yalding]
  • A. Yalding chosen
    Yalding is a historic rural village in Kent, England, known for its traditional architecture and location near the confluence of several rivers.
  • B. Hythe
    Hythe is a small village in northwestern Alberta, Canada, situated west of the city of Grande Prairie.
  • C. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • D. Brightlingsea
    Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
  • E. Peaslake
    Peaslake is a small rural village in Surrey, England, known for its scenic woodland surroundings and popularity with walkers and mountain bikers.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5cdd288190914e1d57321b3554 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a175a48190b596ea4cf917e80e completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.