Triple

T13142318
Position Surface form Disambiguated ID Type / Status
Subject San Leon, Texas E312238 entity
Predicate locatedNear P294 FINISHED
Object Kemah, Texas E367755 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: Kemah, Texas | Statement: [San Leon, Texas, locatedNear, Kemah, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemah, Texas
Context triple: [San Leon, Texas, locatedNear, Kemah, Texas]
  • A. Kemah, Texas chosen
    Kemah, Texas is a small coastal city on Galveston Bay known for its waterfront entertainment district, boardwalk, and marinas within the Greater Houston metropolitan area.
  • B. Kyle, Texas
    Kyle, Texas is a rapidly growing small city in Central Texas located between Austin and San Marcos, known for its suburban character and proximity to major highways.
  • C. Kaufman, Texas
    Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
  • D. Keene, Texas
    Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
  • E. Mission, Texas
    Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b84f1081908b9e2d54a64d4c2d completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:10 p.m.