Triple

T6055119
Position Surface form Disambiguated ID Type / Status
Subject San Marcos E134889 entity
Predicate locatedIn P40 FINISHED
Object Caldwell County E401719 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: Caldwell County | Statement: [San Marcos, locatedIn, Caldwell County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caldwell County
Context triple: [San Marcos, locatedIn, Caldwell County]
  • A. Caldwell County chosen
    Caldwell County is a county in south-central Texas, known for its rural communities, agriculture, and inclusion in the Greater Austin metropolitan area.
  • B. Cochran County
    Cochran County is a sparsely populated rural county in far west Texas known for its agriculture and location along the New Mexico border.
  • C. Smith County
    Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
  • D. Smith County
    Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
  • E. Parmer County
    Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1251d9bbc8190b9544e93dc268787 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:09 p.m.