Triple

T1882536
Position Surface form Disambiguated ID Type / Status
Subject William Prescott E39884 entity
Predicate familyName P18 FINISHED
Object Prescott E24376 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: Prescott | Statement: [William Prescott, familyName, Prescott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prescott
Context triple: [William Prescott, familyName, Prescott]
  • A. Prescott chosen
    Prescott is a historic city in north-central Arizona known for its Old West heritage, Victorian architecture, and role in the early political development of the state.
  • B. Flagstaff
    Flagstaff is a high-elevation city in northern Arizona known for its proximity to the Grand Canyon, its historic Route 66 corridor, and its role as a center for astronomy and outdoor recreation.
  • C. Tucson
    Tucson is a major city in southern Arizona known for its desert landscape, rich Native American and Mexican cultural influences, and the University of Arizona.
  • D. Sedona
    Sedona is a scenic Arizona city famed for its striking red rock formations, vibrant arts community, and reputation as a spiritual and outdoor recreation destination.
  • E. Tempe
    Tempe is a city in the Phoenix metropolitan area of Arizona, known for being home to Arizona State University and its vibrant college-town atmosphere.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fd4d6881908b8266bdae1517ce completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef07752c48190ad74d87ad232b60c completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:34 p.m.