Triple

T6815873
Position Surface form Disambiguated ID Type / Status
Subject Concord E156750 entity
Predicate originalName 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, originalName, Todos Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todos Santos
Context triple: [Concord, originalName, 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 an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
  • E. San Miguel
    San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32dc19c8190a871cc1ff1471a58 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723dd82048190969754b388a76913 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.