Triple

T18167798
Position Surface form Disambiguated ID Type / Status
Subject Province of Palermo E434938 entity
Predicate contains P35 FINISHED
Object Altofonte NE NERFINISHED

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: Altofonte | Statement: [Province of Palermo, contains, Altofonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altofonte
Context triple: [Province of Palermo, contains, Altofonte]
  • A. Altofonte chosen
    Altofonte is a small Italian town in Sicily, situated in the hilly inland area near the city of Palermo.
  • B. Montalto
    Montalto is the highest peak of the Aspromonte massif in Calabria, southern Italy, known for its rugged terrain and panoramic views over the surrounding region.
  • C. Altomonte
    Altomonte is a historic hill town in southern Italy’s Calabria region, known for its medieval architecture and scenic views over the surrounding countryside.
  • D. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • E. Carovigno
    Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df52f8b08190ab2c4d76b510cd28 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.