Triple

T13739822
Position Surface form Disambiguated ID Type / Status
Subject Frio River E330052 entity
Predicate hasNearbyTown P3883 FINISHED
Object Leakey, Texas E1218559 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: Leakey, Texas | Statement: [Frio River, hasNearbyTown, Leakey, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leakey, Texas
Context triple: [Frio River, hasNearbyTown, Leakey, Texas]
  • A. Leakey, Texas chosen
    Leakey, Texas is a small town in the Texas Hill Country known as a gateway to outdoor recreation along the Frio River.
  • B. Leo, Texas
    Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
  • C. Leonard, Texas
    Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
  • D. Lockhart, Texas
    Lockhart, Texas is a small Central Texas city renowned as the "Barbecue Capital of Texas" and a historic hub of the Austin–San Antonio region.
  • E. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014132570081909fab220c002c2f10 completed May 11, 2026, 2:38 a.m.
Created at: April 9, 2026, 9:55 p.m.