Triple

T20002152
Position Surface form Disambiguated ID Type / Status
Subject Chenango River E494358 entity
Predicate mouthLocatedIn P417 FINISHED
Object Binghamton 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: Binghamton | Statement: [Chenango River, mouthLocatedIn, Binghamton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binghamton
Context triple: [Chenango River, mouthLocatedIn, Binghamton]
  • A. Binghamton, New York chosen
    Binghamton, New York is a small city in upstate New York known as a former manufacturing hub and home to Binghamton University, located near the Pennsylvania border in the state's Southern Tier.
  • B. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • C. Utica
    Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
  • D. Utica
    Utica is a small village in LaSalle County, Illinois, known as a gateway to the nearby Starved Rock State Park.
  • E. Oneonta
    Oneonta is a small city in central Alabama that serves as the county seat and primary population center of Blount County.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a2e34481908a495cc5d077c41f completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.