Triple

T21688113
Position Surface form Disambiguated ID Type / Status
Subject San Pablo (commune) E535284 entity
Predicate administrativeCenter P1474 FINISHED
Object San Pablo (town) 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 Pablo (town) | Statement: [San Pablo (commune), administrativeCenter, San Pablo (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pablo (town)
Context triple: [San Pablo (commune), administrativeCenter, San Pablo (town)]
  • A. San Pablo (town) chosen
    San Pablo (town) is a small urban center in southern Chile that serves as the administrative and service hub for the surrounding rural commune of San Pablo.
  • B. San Pablo (commune)
    San Pablo is a rural commune and town in southern Chile known for its agricultural activities and location within the Los Lagos Region.
  • C. San Pablo
    San Pablo is a village located in the Orange Walk District of northern Belize, known for its rural community and agricultural surroundings.
  • D. San Pablo
    San Pablo is a municipality located within the San Marcos Department in western Guatemala, known for its highland landscapes and agricultural economy.
  • E. San Pablo
    San Pablo is a neighborhood in Seville, Spain, known for its residential character and proximity to Seville Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cd51d481908df67e4f69826b06 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.