Triple

T18045966
Position Surface form Disambiguated ID Type / Status
Subject Val di Chiana E431773 entity
Predicate majorTown P316 FINISHED
Object Cortona 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: Cortona | Statement: [Val di Chiana, majorTown, Cortona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cortona
Context triple: [Val di Chiana, majorTown, Cortona]
  • A. Cortona chosen
    Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
  • B. Civita
    Civita was the principal town and administrative center of the medieval Judicate of Gallura in northeastern Sardinia.
  • C. Civita
    Civita is a picturesque Arbëreshë (Albanian-Italian) hill town in southern Italy known for its historic stone architecture and dramatic views over the Raganello Gorge.
  • D. Fiesole
    Fiesole is a historic hilltop town overlooking Florence in Tuscany, Italy, known for its Etruscan and Roman remains and its role as a Renaissance artistic center.
  • E. Civitaquana
    Civitaquana is a small Italian municipality in the Abruzzo 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 (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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.