Triple

T2424295
Position Surface form Disambiguated ID Type / Status
Subject Heard Museum E53489 entity
Predicate location P40 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: [Heard Museum, location, Phoenix, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix, Arizona
Context triple: [Heard Museum, location, 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 the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
  • C. 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.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b402a702a081909319ba32990fa010 completed March 13, 2026, 12:27 p.m.
Created at: March 6, 2026, 9:42 p.m.