Triple

T6853686
Position Surface form Disambiguated ID Type / Status
Subject Paso de Sico E158083 entity
Predicate roadLinks P11435 FINISHED
Object San Antonio de los Cobres E307092 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: San Antonio de los Cobres | Statement: [Paso de Sico, roadLinks, San Antonio de los Cobres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Antonio de los Cobres
Context triple: [Paso de Sico, roadLinks, San Antonio de los Cobres]
  • A. San Antonio de los Cobres chosen
    San Antonio de los Cobres is a high-altitude Andean town in northwestern Argentina known as a gateway to the Puna region and the Tren a las Nubes (Train to the Clouds).
  • B. San Carlos
    San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
  • C. San Carlos
    San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
  • D. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • E. San Carlos
    San Carlos is a coastal component city in Negros Occidental, Philippines, known for its port, eco-tourism initiatives, and annual Pintaflores Festival.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d851321481908c49c2c949359703 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd79e508190b00e45f9cceb3e21 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.