Triple

T11517491
Position Surface form Disambiguated ID Type / Status
Subject Caldwell County, Texas E273067 entity
Predicate hasCommunity P2605 FINISHED
Object Uhland, Texas E604959 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: Uhland, Texas | Statement: [Caldwell County, Texas, hasCommunity, Uhland, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uhland, Texas
Context triple: [Caldwell County, Texas, hasCommunity, Uhland, Texas]
  • A. Uhland, Texas chosen
    Uhland, Texas is a small rural city in Central Texas located between Austin and San Marcos.
  • B. Tolar, Texas
    Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
  • C. Murchison, Texas
    Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
  • D. Hutto, Texas
    Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
  • E. Hutchins, Texas
    Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcc72a48190b81acedfcc8685d3 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f631efb4819096ad6ee0c87fa7a7 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:36 p.m.