Triple

T21571038
Position Surface form Disambiguated ID Type / Status
Subject Fouta Djallon E532282 entity
Predicate majorTown P316 FINISHED
Object Pita 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: Pita | Statement: [Fouta Djallon, majorTown, Pita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pita
Context triple: [Fouta Djallon, majorTown, Pita]
  • A. Pita chosen
    Pita is a major city in central Guinea known as an important regional hub in the Middle Guinea (Fouta Djallon) highlands.
  • B. Pitasch
    Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
  • C. PITA
    PITA is the acronym for the Provincial Institute of Technology and Art, a Canadian post-secondary institution that later evolved into the Southern Alberta Institute of Technology (SAIT).
  • D. Simitli
    Simitli is a small town and municipality in southwestern Bulgaria, situated in the Blagoevgrad Province near the Struma River.
  • E. Crostini
    Crostini is the Linux container system in ChromeOS that allows users to run Linux applications alongside Chrome apps on Chromebooks.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cc5c448190887a836f577d01ba completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.