Triple

T16299258
Position Surface form Disambiguated ID Type / Status
Subject Lake Hawkins E395737 entity
Predicate hasNearbyCity P350 FINISHED
Object Hawkins, Texas E395736 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: Hawkins, Texas | Statement: [Lake Hawkins, hasNearbyCity, Hawkins, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawkins, Texas
Context triple: [Lake Hawkins, hasNearbyCity, Hawkins, Texas]
  • A. Hawkins, Texas chosen
    Hawkins, Texas is a small city in East Texas known as the "Pancake Capital of Texas" and as the home of Jarvis Christian University.
  • B. Hutchins, Texas
    Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
  • C. Hainesville, Texas
    Hainesville, Texas is a small unincorporated rural community located in Wood County in East Texas.
  • D. Hawley, Texas
    Hawley, Texas is a small rural city in Jones County in west-central Texas, known for its close-knit community and proximity to Abilene.
  • E. Hempstead, Texas
    Hempstead, Texas is a small city in Waller County known as a gateway between the Houston metropolitan area and Central Texas.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e30ee288190b78807b60cb18e22 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006798cf488190a68cf7e57902924e completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:06 a.m.