Triple

T14995906
Position Surface form Disambiguated ID Type / Status
Subject Province of Palermo (historical) E373957 entity
Predicate contains P35 FINISHED
Object Carini E921338 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: Carini | Statement: [Province of Palermo (historical), contains, Carini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carini
Context triple: [Province of Palermo (historical), contains, Carini]
  • A. Carini chosen
    Carini is a coastal town in the Metropolitan City of Palermo, Sicily, known for its historic medieval castle and scenic position overlooking the Tyrrhenian Sea.
  • B. Nicotera
    Nicotera is a historic coastal town in the Calabria region of southern Italy, known for its medieval center and views over the Tyrrhenian Sea.
  • C. Pindiali
    Pindiali is a settlement located in the Mohmand region of northwestern Pakistan, near the border with Afghanistan.
  • D. Cariati
    Cariati is a coastal town and comune in Calabria, southern Italy, known for its historic medieval center and seaside location on the Ionian Sea.
  • E. Serrenti
    Serrenti is a small municipality in southern Sardinia, Italy, known for its agricultural traditions and rural landscape.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969a63f081908bf11783e2a51229 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.