Triple

T23409414
Position Surface form Disambiguated ID Type / Status
Subject Andrew Bailey E560022 entity
Predicate workLocation P7 FINISHED
Object Missouri NE NERFINISHED

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: Missouri | Statement: [Andrew Bailey, workLocation, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missouri
Context triple: [Andrew Bailey, workLocation, Missouri]
  • A. Missouri chosen
    Missouri is a U.S. state in the Midwest known for its major cities like St. Louis and Kansas City, its role as a historic gateway to the American West, and its diverse mix of agricultural and industrial economies.
  • B. Missori
    Missori is an underground station on Milan Metro’s Line 3 serving the central area of Milan, Italy.
  • C. Missouri State
    Missouri State is the athletic program representing Missouri State University in NCAA Division I sports, competing primarily in the Missouri Valley Conference.
  • D. Pacific, Missouri
    Pacific, Missouri is a small city in eastern Missouri, United States, located along historic rail lines and serving as a gateway between the St. Louis metropolitan area and the Ozark region.
  • E. Mos
    Mos is a municipality in the province of Pontevedra in Galicia, northwestern Spain, situated near the city of Vigo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50fff10819094e71fb0c11b7d95 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.