Triple

T4189790
Position Surface form Disambiguated ID Type / Status
Subject JE Dunn Construction E89004 entity
Predicate hasOfficeIn P1268 FINISHED
Object Phoenix, Arizona E9582 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: Phoenix, Arizona | Statement: [JE Dunn Construction, hasOfficeIn, Phoenix, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix, Arizona
Context triple: [JE Dunn Construction, hasOfficeIn, Phoenix, Arizona]
  • A. Phoenix chosen
    Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
  • B. Phoenix
    Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
  • C. Phoenix
    Phoenix is the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
  • D. 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.
  • E. Mesa, Arizona
    Mesa, Arizona is a large city in the Phoenix metropolitan area known for its desert climate, suburban communities, and role as a major spring training hub for Major League Baseball.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af033ef6648190adde17f943d89c78 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b594a6aac881908dbde61735ca8427 completed March 14, 2026, 5:02 p.m.
Created at: March 9, 2026, 3:46 p.m.