Triple

T16689289
Position Surface form Disambiguated ID Type / Status
Subject Hill County E405550 entity
Predicate hasSettlement P1068 FINISHED
Object Mount Calm, Texas E640972 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: Mount Calm, Texas | Statement: [Hill County, hasSettlement, Mount Calm, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Calm, Texas
Context triple: [Hill County, hasSettlement, Mount Calm, Texas]
  • A. Mount Calm, Texas chosen
    Mount Calm, Texas is a small rural town in central Texas known for its agricultural surroundings and close-knit community.
  • B. Round Mountain, Texas
    Round Mountain, Texas is a small rural town in the Texas Hill Country known for its scenic landscapes and quiet, close-knit community.
  • C. East Mountain, Texas
    East Mountain, Texas is a small city located in northeastern Texas within the Longview–Marshall metropolitan area.
  • D. 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.
  • E. Chalk Mountain, Texas
    Chalk Mountain, Texas is a small unincorporated rural community in Erath County known for its scenic hill country landscape and quiet, sparsely populated setting.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a46a4cc8190b47f9dcf27380c46 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.