Triple

T16128738
Position Surface form Disambiguated ID Type / Status
Subject Rhinecliff E391337 entity
Predicate nearestCity P350 FINISHED
Object Poughkeepsie 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: Poughkeepsie | Statement: [Rhinecliff, nearestCity, Poughkeepsie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poughkeepsie
Context triple: [Rhinecliff, nearestCity, Poughkeepsie]
  • A. Poughkeepsie, New York chosen
    Poughkeepsie, New York is a historic city in the Hudson Valley that serves as the county seat of Dutchess County and a regional center for education, culture, and transportation.
  • B. Utica
    Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
  • C. 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.
  • D. Útica
    Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
  • E. Richmond, New York
    Richmond, New York is a small rural town in Ontario County known for its Finger Lakes scenery and outdoor recreation opportunities.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20206a6f08190aa648d2bb11e7878 completed April 17, 2026, 9:48 a.m.
Created at: April 10, 2026, 5:01 a.m.