Triple

T15126081
Position Surface form Disambiguated ID Type / Status
Subject Blanco County E361293 entity
Predicate contains P35 FINISHED
Object Round Mountain, Texas E944153 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: Round Mountain, Texas | Statement: [Blanco County, contains, Round Mountain, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Round Mountain, Texas
Context triple: [Blanco County, contains, Round Mountain, Texas]
  • A. Round Mountain, Texas chosen
    Round Mountain, Texas is a small rural town in the Texas Hill Country known for its scenic landscapes and quiet, close-knit community.
  • B. East Mountain, Texas
    East Mountain, Texas is a small city located in northeastern Texas within the Longview–Marshall metropolitan area.
  • C. Rockett, Texas
    Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
  • D. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • E. Granite Shoals, Texas
    Granite Shoals, Texas is a small lakeside city in the Texas Hill Country known for its access to Lake LBJ and outdoor recreational activities.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a1b9288190954f2d92549805e5 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3b3fc0819094daf892200bd1ac completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:06 a.m.