Triple

T19912495
Position Surface form Disambiguated ID Type / Status
Subject San Carlos Commune E478581 entity
Predicate hasSettlement P1068 FINISHED
Object San Carlos — NE NERFINISHED

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 Carlos | Statement: [San Carlos Commune, hasSettlement, San Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Carlos
Context triple: [San Carlos Commune, hasSettlement, San Carlos]
  • A. San Carlos
    San Carlos is a barangay (village-level administrative division) within the municipality of Mariveles in the province of Bataan, Philippines.
  • B. San Carlos
    San Carlos is a coastal component city in Negros Occidental, Philippines, known for its port, eco-tourism initiatives, and annual Pintaflores Festival.
  • C. San Carlos
    San Carlos is a historic town in northwestern Argentina’s Salta Province, known for its colonial architecture, wine production, and role as a cultural hub in the Calchaquí Valleys.
  • D. San Carlos
    San Carlos is a municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
  • E. San Carlos
    San Carlos is a municipality located in the Punilla Department of Córdoba Province, Argentina, known for its rural character and scenic surroundings in the Sierras de Córdoba region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659917fdc8190bf29bfdab0fe8f85 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.