Triple

T19674674
Position Surface form Disambiguated ID Type / Status
Subject Gran Santiago metropolitan area E472421 entity
Predicate includesMunicipality P14658 FINISHED
Object San Ramón 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 Ramón | Statement: [Gran Santiago metropolitan area, includesMunicipality, San Ramón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ramón
Context triple: [Gran Santiago metropolitan area, includesMunicipality, 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 Ramón
    San Ramón is a city that serves as the administrative and economic center of its surrounding region.
  • E. San Ramón
    San Ramón is a town in central Peru’s Junín Region, known as an important agricultural and commercial center in the Chanchamayo Valley of the high jungle.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bb2b7c8190b2badf12ce2caa52 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.