Triple

T23068473
Position Surface form Disambiguated ID Type / Status
Subject Martina Franca E575121 entity
Predicate locatedNear P294 FINISHED
Object Cisternino 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: Cisternino | Statement: [Martina Franca, locatedNear, Cisternino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisternino
Context triple: [Martina Franca, locatedNear, Cisternino]
  • A. Cisternino chosen
    Cisternino is a picturesque hilltop town in the Apulia region of southern Italy, known for its whitewashed historic center and traditional trulli houses.
  • B. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • C. Capoterra
    Capoterra is a town and municipality in southern Sardinia, Italy, situated near the city of Cagliari and known for its coastal and hilly landscapes.
  • D. Solignano
    Solignano is a small municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and location in the Taro Valley.
  • E. Pietracorbara
    Pietracorbara is a coastal commune on the island of Corsica in southeastern France, known for its scenic valley, beaches, and traditional stone villages.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.