Triple

T2111799
Position Surface form Disambiguated ID Type / Status
Subject Crescent E42519 entity
Predicate servesCity P82 FINISHED
Object Tuscaloosa E67247 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: Tuscaloosa | Statement: [Crescent, servesCity, Tuscaloosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuscaloosa
Context triple: [Crescent, servesCity, Tuscaloosa]
  • A. Tuscaloosa, Alabama chosen
    Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
  • B. Prattville
    Prattville is a city in central Alabama known for its historic downtown, proximity to Montgomery, and strong ties to the manufacturing and paper industries.
  • C. Phenix City
    Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
  • D. Montevallo, Alabama
    Montevallo, Alabama is a small city in central Alabama best known as the home of the University of Montevallo, the state's only public liberal arts university.
  • E. Auburn
    Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0369a88190af02f0e4e05e2511 completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51926e4481909dd148b5cab3b6ec completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.