Triple

T20167432
Position Surface form Disambiguated ID Type / Status
Subject Trout Brook E491860 entity
Predicate flowsInto P408 FINISHED
Object Park River 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: Park River | Statement: [Trout Brook, flowsInto, Park River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park River
Context triple: [Trout Brook, flowsInto, Park River]
  • A. Park River chosen
    Park River is a small urban river in Hartford, Connecticut, much of which now flows through underground conduits beneath the city.
  • B. Banning Creek
    Banning Creek is a stream in Arizona that serves as the primary inflow to Goldwater Lake near Prescott.
  • C. Plum Creek
    Plum Creek is a waterway in Pennsylvania historically significant enough to lend its name to the nearby borough of Plum.
  • D. Plum Creek
    Plum Creek is a stream in central Texas known for its historical significance in early Texas frontier conflicts and settlement.
  • E. Plum Creek
    Plum Creek is a smaller stream in North America that serves as a tributary feeding into the Souris River.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.