Triple

T15758057
Position Surface form Disambiguated ID Type / Status
Subject Craven County, North Carolina E382018 entity
Predicate bordersWaterBody P212 FINISHED
Object Trent River E289644 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: Trent River | Statement: [Craven County, North Carolina, bordersWaterBody, Trent River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trent River
Context triple: [Craven County, North Carolina, bordersWaterBody, Trent River]
  • A. Trent River
    The Trent River is a river in Ontario, Canada, that forms part of the Trent–Severn Waterway and drains into Lake Ontario.
  • B. Trent River chosen
    The Trent River is a waterway in eastern North Carolina that flows through New Bern before joining the Neuse River.
  • C. Train River
    The Train River is a smaller watercourse in Belgium that serves as a tributary within the Dyle River basin.
  • D. Plenty River
    The Plenty River is a waterway in Victoria, Australia, that flows through Melbourne’s northeastern suburbs before joining the Yarra River.
  • E. Tüp River
    The Tüp River is a mountain river in northeastern Kyrgyzstan that flows into Lake Issyk-Kul, contributing to the lake’s freshwater inflow.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e9b00c81908cb5f305c894363f completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 4:47 a.m.