Triple

T12680895
Position Surface form Disambiguated ID Type / Status
Subject Irsina E302942 entity
Predicate hasProvinceCapital P3433 FINISHED
Object 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: Matera | Statement: [Irsina, hasProvinceCapital, Matera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matera
Context triple: [Irsina, hasProvinceCapital, 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. 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.
  • C. Martina Franca
    Martina Franca is a historic hilltop town in Italy’s Apulia region, renowned for its Baroque architecture and annual classical music festival.
  • D. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • E. Cerignola
    Cerignola is a large agricultural and industrial town in Italy’s Apulia region, known especially for its olive production and location in the fertile Tavoliere plain.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b32dbc81908101fc5f07e26ed3 completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0dace788190bf2663984801f38c completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:21 p.m.