Triple

T12972087
Position Surface form Disambiguated ID Type / Status
Subject Avenida Ashford E321423 entity
Predicate locatedIn P40 FINISHED
Object Condado E2558 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: Condado | Statement: [Avenida Ashford, locatedIn, Condado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Condado
Context triple: [Avenida Ashford, locatedIn, Condado]
  • A. Condado chosen
    Condado is an upscale beachfront district in San Juan, Puerto Rico, known for its hotels, casinos, shopping, and vibrant nightlife.
  • B. Conteo
    "Conteo" is a reggaeton song by Puerto Rican artist Don Omar, recognized for its energetic rhythm and prominence in the mid-2000s Latin urban music scene.
  • C. Canadian County
    Canadian County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
  • D. Kabudarahang County
    Kabudarahang County is an administrative subdivision in western Iran known for its rural communities and agricultural activities within Hamadan Province.
  • E. Cili County
    Cili County is an administrative county under the jurisdiction of Zhangjiajie City in Hunan Province, China, known for its karst landscapes and proximity to major scenic areas.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ea91f08190b1daf6d05621acf9 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:36 p.m.