Triple

T26247859
Position Surface form Disambiguated ID Type / Status
Subject Southampton (village), New York E656498 entity
Predicate subdivisionName4 P163718 FINISHED
Object United States of America 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: United States of America | Statement: [Southampton (village), New York, subdivisionName4, United States of America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionName4
Context triple: [Southampton (village), New York, subdivisionName4, United States of America]
  • A. subdivisionNameType
    Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
  • B. subdivisionType4 chosen
    Indicates that an entity is classified as, or associated with, a fourth-level type of administrative or geographic subdivision within a hierarchical structure.
  • C. subdivisionName0
    Indicates the name assigned to the first (primary) subdivision or sub-unit associated with an entity.
  • D. subdivisionNameExample
    Indicates that the predicate provides an example name of a subdivision (such as a district, region, or administrative area) associated with an entity.
  • E. subdivisionName1
    Indicates that the first named subdivision is identified by a specific name or designation within a larger geographic or organizational hierarchy.
  • F. None of above.

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_69ee5b4c59a881909d9ee4fd013fffd5 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 26, 2026, 9:06 p.m.