Triple

T17699028
Position Surface form Disambiguated ID Type / Status
Subject Battle of Montepeloso E441246 entity
Predicate place P373 FINISHED
Object Montepeloso 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: Montepeloso | Statement: [Battle of Montepeloso, place, Montepeloso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montepeloso
Context triple: [Battle of Montepeloso, place, Montepeloso]
  • A. Montepeloso chosen
    Montepeloso is the historical name of the town now known as Irsina, located in the Basilicata region of southern Italy.
  • B. Albuccione
    Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • D. Montedinove
    Montedinove is a small historic hilltop town in Italy’s Marche region, known for its medieval architecture and scenic views over the surrounding countryside.
  • E. Roccapalumba
    Roccapalumba is a small town in Sicily, Italy, known for its rural character and location within the inland hills of the Metropolitan City of Palermo.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47158be9c8190bbf4e5162ff74ad2 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.