Triple

T9091813
Position Surface form Disambiguated ID Type / Status
Subject Santiago Province E217904 entity
Predicate contains P35 FINISHED
Object San Miguel E329573 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 Miguel | Statement: [Santiago Province, contains, San Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Miguel
Context triple: [Santiago Province, contains, San Miguel]
  • A. 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.
  • B. San Miguel chosen
    San Miguel is a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
  • C. San Miguel
    San Miguel is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and rural communities.
  • D. San Miguel
    San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
  • E. San Miguel
    San Miguel is a coastal district of Lima, Peru, known for its residential areas, shopping centers, and access to major avenues and the Pacific shoreline.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b18b24819097b525ddad3a85c0 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017f85c908190a4e90c22a75348b5 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.