Triple

T14408101
Position Surface form Disambiguated ID Type / Status
Subject Hooker Avenue E357252 entity
Predicate city P40 FINISHED
Object Poughkeepsie E13718 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: Poughkeepsie | Statement: [Hooker Avenue, city, Poughkeepsie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poughkeepsie
Context triple: [Hooker Avenue, city, 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 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. 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 (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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c7a068819081b4b516983a1412 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11c81f481909129eef69e47d079 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:17 a.m.