Triple

T2421176
Position Surface form Disambiguated ID Type / Status
Subject Texas's 17th congressional district E53420 entity
Predicate containsPartOf P1393 FINISHED
Object City of 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: City of Waco | Statement: [Texas's 17th congressional district, containsPartOf, City of Waco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Waco
Context triple: [Texas's 17th congressional district, containsPartOf, City of 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96f97e08190978b2d873ab88859 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af177ff6508190b549227f4cfd9876 completed March 9, 2026, 6:54 p.m.
Created at: March 6, 2026, 9:42 p.m.