Triple

T13603609
Position Surface form Disambiguated ID Type / Status
Subject Concord, California E325002 entity
Predicate formerName P65 FINISHED
Object Todos Santos E325002 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: Todos Santos | Statement: [Concord, California, formerName, Todos Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todos Santos
Context triple: [Concord, California, formerName, Todos Santos]
  • A. Todos Santos chosen
    Todos Santos was the original name of what is now Concord, California, a town that began as a small 19th-century agricultural community in the East Bay region.
  • B. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • C. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • D. San Cristóbal
    San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
  • E. San Cristóbal
    San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f93ec588190993baec788d22670 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.