Triple

T9091814
Position Surface form Disambiguated ID Type / Status
Subject Santiago Province E217904 entity
Predicate contains P35 FINISHED
Object San Ramón E284695 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 Ramón | Statement: [Santiago Province, contains, San Ramón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ramón
Context triple: [Santiago Province, contains, San Ramón]
  • A. San Ramón chosen
    San Ramón is a commune in the Santiago Metropolitan Region of Chile, known primarily as a residential area within Greater Santiago.
  • B. San Ramón
    San Ramón is a locality within the municipality of Huixquilucan in the State of Mexico, forming part of the greater Mexico City metropolitan area.
  • C. San Ramón
    San Ramón is a small Nicaraguan town on Ometepe Island, known as a gateway for hiking and exploring the nearby Maderas Volcano and its surrounding natural attractions.
  • D. San Jose de Buenavista
    San Jose de Buenavista is a coastal municipality in the Philippines that serves as the capital of the province of Antique in the Western Visayas region.
  • E. Cerritos
    Cerritos is a suburban city in southeastern Los Angeles County, California, known for its planned residential communities, strong public schools, and major retail centers like the Los Cerritos Center.
  • 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_69d0478fc0c4819090de2b761804166f completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:14 p.m.