Triple

T15696292
Position Surface form Disambiguated ID Type / Status
Subject Montepulciano E380467 entity
Predicate locatedNear P294 FINISHED
Object Cortona E148087 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: Cortona | Statement: [Montepulciano, locatedNear, Cortona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cortona
Context triple: [Montepulciano, locatedNear, 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 (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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87631854819084c20a335119dfcc completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:44 a.m.