Triple

T12636899
Position Surface form Disambiguated ID Type / Status
Subject Sassi di Matera E301788 entity
Predicate partOf P40 FINISHED
Object city of 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: city of Matera | Statement: [Sassi di Matera, partOf, city of Matera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Matera
Context triple: [Sassi di Matera, partOf, city of Matera]
  • A. Matera chosen
    Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
  • B. Sassi di Matera
    Sassi di Matera is an ancient cave-dwelling district in the city of Matera, renowned for its rock-hewn houses and churches carved into the limestone cliffs.
  • C. Alberobello
    Alberobello is a town in southern Italy’s Apulia region famed for its distinctive whitewashed trulli houses with conical stone roofs, a UNESCO World Heritage Site.
  • D. Ostuni
    Ostuni is a picturesque hilltop town in Italy’s Apulia region, famed for its whitewashed historic center and views over the Adriatic coast.
  • E. 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.”
  • 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_69f6719886708190823f6f7e94e4d199 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:16 p.m.