Triple

T12205315
Position Surface form Disambiguated ID Type / Status
Subject Burro Alley E290820 entity
Predicate city P40 FINISHED
Object Santa Fe E226282 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: Santa Fe | Statement: [Burro Alley, city, Santa Fe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Fe
Context triple: [Burro Alley, city, Santa Fe]
  • A. Santa Fe chosen
    Santa Fe is a town on Cuba’s Isla de la Juventud, known as one of the island’s principal local settlements.
  • B. Santa Fe
    Santa Fe is a historic Argentine city and provincial capital known for its colonial heritage and strategic location on the Paraná River.
  • C. Santa Fe
    "Santa Fe" is a key ballad from the stage musical Newsies that expresses the protagonist Jack Kelly’s yearning to escape New York City for a freer life in the West.
  • D. Santa Fe
    Santa Fe is a small coastal municipality in the island province of Romblon in the Philippines, known for its rural communities and surrounding marine scenery.
  • E. Santa Fe
    Santa Fe is a major modern business and financial district in western Mexico City known for its corporate offices, upscale shopping centers, and contemporary high-rise architecture.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7c9084819085e7d2f9038f409f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b9717c8190b8ac71989d3b3582 completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:51 p.m.