Triple

T3701417
Position Surface form Disambiguated ID Type / Status
Subject River Darent E78586 entity
Predicate flowsThrough P225 FINISHED
Object Eynsford E267140 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: Eynsford | Statement: [River Darent, flowsThrough, Eynsford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eynsford
Context triple: [River Darent, flowsThrough, Eynsford]
  • A. Eynsford chosen
    Eynsford is a historic village in the Sevenoaks District of Kent, England, known for its medieval castle ruins and picturesque rural setting.
  • B. Aylesford
    Aylesford is a historic village in Kent, England, known for its ancient bridge, riverside setting, and archaeological significance.
  • C. Sharneyford
    Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
  • D. Glanford
    Glanford was a former local government district in Lincolnshire, England, that was abolished in the 1990s local government reorganization.
  • E. Bramford
    Bramford is a village and civil parish located near Ipswich in the county of Suffolk, England.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf1b16081909b18af630d0b4817 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.