Triple

T3570089
Position Surface form Disambiguated ID Type / Status
Subject School of Education at Baylor University E75548 entity
Predicate city P40 FINISHED
Object Waco E97168 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: Waco | Statement: [School of Education at Baylor University, city, Waco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waco
Context triple: [School of Education at Baylor University, city, Waco]
  • A. Waco, Texas chosen
    Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
  • B. Wichita Falls, Texas
    Wichita Falls, Texas is a mid-sized city in northern Texas known for its oil and gas history, military presence at Sheppard Air Force Base, and role as a regional economic and cultural center.
  • C. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • D. Lubbock
    Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
  • E. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c1ecb081909051bcc1f38eea31 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48825d5a08190b57407b660fb5954 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:21 p.m.