Triple

T15005105
Position Surface form Disambiguated ID Type / Status
Subject Byfield E377687 entity
Predicate hasWatercourse P165 FINISHED
Object Stony Creek 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: Stony Creek | Statement: [Byfield, hasWatercourse, Stony Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stony Creek
Context triple: [Byfield, hasWatercourse, Stony Creek]
  • A. Stony Creek
    Stony Creek is a stream in Northern California that flows through the Coast Ranges and agricultural valleys before joining the Sacramento River.
  • B. Stony Creek chosen
    Stony Creek is a smaller stream in North Carolina that feeds into the Haw River as part of its watershed system.
  • C. Stony Creek
    Stony Creek is a coastal neighborhood in Branford, Connecticut, known for its scenic shoreline and access to the Thimble Islands.
  • D. Stonycreek River
    The Stonycreek River is a tributary of the Conemaugh River in southwestern Pennsylvania, known for its whitewater recreation and successful environmental restoration from past mining pollution.
  • E. Hunting Creek
    Hunting Creek is a smaller stream in North Carolina that feeds into the Yadkin River as one of its tributaries.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7322b5c81909089cbbf816e1436 completed April 15, 2026, 12:09 a.m.
Created at: April 10, 2026, 2:54 a.m.