Triple

T10310113
Position Surface form Disambiguated ID Type / Status
Subject Pueblo Bonito E241864 entity
Predicate near P350 FINISHED
Object Pueblo del Arroyo E297440 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: Pueblo del Arroyo | Statement: [Pueblo Bonito, near, Pueblo del Arroyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pueblo del Arroyo
Context triple: [Pueblo Bonito, near, Pueblo del Arroyo]
  • A. Pueblo del Arroyo chosen
    Pueblo del Arroyo is a large, multi-storied Ancestral Puebloan great house ruin in northwestern New Mexico, notable for its distinctive masonry and role in the Chacoan cultural system.
  • B. Pueblo Nuevo
    Pueblo Nuevo is a traditional, densely populated neighborhood within Havana’s central municipality of Centro Habana, known for its historic urban character and vibrant local life.
  • C. Pueblo Nuevo
    Pueblo Nuevo is a locality within Cueto Municipality in Cuba, known as part of the country’s rural settlement network.
  • D. Pueblo Nuevo
    Pueblo Nuevo is a Madrid Metro station serving the Pueblo Nuevo neighborhood in the city’s northeastern San Blas–Canillejas district.
  • E. Cerritos
    Cerritos is a suburban city in southeastern Los Angeles County, California, known for its planned residential communities, strong public schools, and major retail centers like the Los Cerritos Center.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32a18ac81909b4efd8c1ba3e113 completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb5cbaec8190a9773f8d72d51c1a completed April 9, 2026, 7:17 p.m.
Created at: April 6, 2026, 11:47 a.m.