Triple

T12636912
Position Surface form Disambiguated ID Type / Status
Subject Sassi di Matera E301788 entity
Predicate hasPart P35 FINISHED
Object Sasso Barisano E994658 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: Sasso Barisano | Statement: [Sassi di Matera, hasPart, Sasso Barisano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasso Barisano
Context triple: [Sassi di Matera, hasPart, Sasso Barisano]
  • A. Sasso Marconi
    Sasso Marconi is a town in northern Italy named in honor of radio pioneer Guglielmo Marconi, located in the Emilia-Romagna region near Bologna.
  • B. Brisighella
    Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • C. Frascineto
    Frascineto is a small Arbëreshë (Albanian-heritage) town in Calabria, southern Italy, known for preserving Albanian language and Byzantine religious traditions.
  • D. Sasso Caveoso chosen
    Sasso Caveoso is one of the ancient cave-dwelling districts of Matera, Italy, characterized by its rock-hewn houses and steep, amphitheater-like layout.
  • E. Monteprandone
    Monteprandone is a hilltop town and comune in Italy’s Marche region, known for its medieval historic center and views over the surrounding Piceno countryside.
  • 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.