Triple

T2796642
Position Surface form Disambiguated ID Type / Status
Subject Silver Taps E53051 entity
Predicate location P40 FINISHED
Object College Station, Texas E15336 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: College Station, Texas | Statement: [Silver Taps, location, College Station, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College Station, Texas
Context triple: [Silver Taps, location, College Station, Texas]
  • A. College Station, Texas chosen
    College Station, Texas is a central Texas city best known as the home of Texas A&M University and its large student-centered community.
  • B. North Lake College Station
    North Lake College Station is a Dallas Area Rapid Transit (DART) light rail stop serving the North Lake College area in Irving, Texas.
  • C. University Park, Texas
    University Park, Texas is an affluent suburban city in the Dallas–Fort Worth area best known as the home of Southern Methodist University.
  • D. Tarleton
    Tarleton is a village in Lancashire, England, situated in a rural area of the West Lancashire Coastal Plain near the River Douglas.
  • E. Denton, Texas
    Denton, Texas is a rapidly growing North Texas city known for its vibrant music scene, historic downtown square, and major universities including the University of North Texas and Texas Woman’s University.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf0f4988190bffc3abab7edbb81 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6646c2c81908157d8f03cb8376d completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.