Triple

T15649968
Position Surface form Disambiguated ID Type / Status
Subject Val di Noto E376284 entity
Predicate hasPart P35 FINISHED
Object Grammichele E911587 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: Grammichele | Statement: [Val di Noto, hasPart, Grammichele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grammichele
Context triple: [Val di Noto, hasPart, Grammichele]
  • A. Grammichele chosen
    Grammichele is a Sicilian town renowned for its distinctive hexagonal street plan, located in southern Italy.
  • B. Triggiano
    Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • D. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • E. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed4d9f88190b7e24bf84c5a916f completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:15 a.m.