Triple

T11628737
Position Surface form Disambiguated ID Type / Status
Subject Dashmesh Pita E276340 entity
Predicate derivesFrom P909 FINISHED
Object Pita E784217 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: Pita | Statement: [Dashmesh Pita, derivesFrom, Pita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pita
Context triple: [Dashmesh Pita, derivesFrom, 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. Simitli
    Simitli is a small town and municipality in southwestern Bulgaria, situated in the Blagoevgrad Province near the Struma River.
  • D. Crostini
    Crostini is the Linux container system in ChromeOS that allows users to run Linux applications alongside Chrome apps on Chromebooks.
  • E. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87922b308190a16d026a75b1043e completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.