Triple

T12636913
Position Surface form Disambiguated ID Type / Status
Subject Sassi di Matera E301788 entity
Predicate hasPart P35 FINISHED
Object Civita (Matera) E304593 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: Civita (Matera) | Statement: [Sassi di Matera, hasPart, Civita (Matera)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Civita (Matera)
Context triple: [Sassi di Matera, hasPart, Civita (Matera)]
  • A. Civitaquana
    Civitaquana is a small Italian municipality in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
  • B. Civita di Bagnoregio
    Civita di Bagnoregio is a small, picturesque hilltop village in central Italy famed for its dramatic setting atop eroding cliffs and its nickname “the dying city.”
  • C. Ostuni
    Ostuni is a picturesque hilltop town in Italy’s Apulia region, famed for its whitewashed historic center and views over the Adriatic coast.
  • D. Matera chosen
    Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
  • E. Pitigliano
    Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96147f49c8190b701e1e27e207a95 completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c71482c819083d65c1a39e90e41 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:16 p.m.