Triple

T23427599
Position Surface form Disambiguated ID Type / Status
Subject Kyle, Texas E563235 entity
Predicate proximityTo P350 FINISHED
Object San Marcos, Texas 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 Marcos, Texas | Statement: [Kyle, Texas, proximityTo, San Marcos, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Marcos, Texas
Context triple: [Kyle, Texas, proximityTo, San Marcos, Texas]
  • A. San Marcos, Texas chosen
    San Marcos, Texas is a central Texas city along the San Marcos River known for its university campus, outlet shopping, and outdoor recreation.
  • B. San Marcos
    San Marcos is a suburban city in northern San Diego County, California, known for its growing residential communities and educational institutions such as California State University San Marcos.
  • C. San Marcos
    San Marcos is a small settlement located on Isla San Marcos off the coast of Baja California Sur, Mexico, primarily associated with fishing and mining activities.
  • D. San Marcos
    San Marcos is a municipality in El Salvador known for its proximity to the capital, San Salvador, and its role as a residential and commercial suburb within the San Salvador metropolitan area.
  • E. San Marcos
    San Marcos is a town in northern Peru that serves as a local commercial and administrative hub in the Cajamarca region.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:48 p.m.