Triple

T1540202
Position Surface form Disambiguated ID Type / Status
Subject Centerport, New York E32847 entity
Predicate borderedBy P224 FINISHED
Object Huntington E39099 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: Huntington | Statement: [Centerport, New York, borderedBy, Huntington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huntington
Context triple: [Centerport, New York, borderedBy, Huntington]
  • A. Huntington chosen
    Huntington is a town on the north shore of Long Island in Suffolk County, New York, known for its historic downtown, waterfront, and cultural attractions.
  • B. Huntington
    Huntington is a surname most prominently associated with Samuel P. Huntington, the influential American political scientist known for his work on civil-military relations and the "clash of civilizations" thesis.
  • C. Pelham
    Pelham is the first name of P. G. Wodehouse, the celebrated English humorist and author known for his Jeeves and Wooster stories.
  • D. Peabody
    Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
  • E. Eastland
    Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083c942481909168394b6674d82b completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30997d408190916f16d31bcc35b4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.