Triple

T22298283
Position Surface form Disambiguated ID Type / Status
Subject Goodyear E551180 entity
Predicate hasPlannedCommunity P23364 FINISHED
Object Estrella 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: Estrella | Statement: [Goodyear, hasPlannedCommunity, Estrella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estrella
Context triple: [Goodyear, hasPlannedCommunity, Estrella]
  • A. Estrella chosen
    Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
  • B. Estrella
    Estrella is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose role intertwines with themes of destiny, honor, and political intrigue.
  • C. Estrella
    Estrella is one of the character pieces in Robert Schumann’s piano cycle Carnaval, Op. 9, often noted for its lyrical and intimate musical character.
  • D. Estrela
    Estrela is a municipality in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil, known for its agriculture-based economy and German-Brazilian cultural heritage.
  • E. Estrela
    Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572200c88190b9413286136fef15 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.