Triple

T14718487
Position Surface form Disambiguated ID Type / Status
Subject Larino E345745 entity
Predicate hasProvince P285 FINISHED
Object Campobasso E167844 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: Campobasso | Statement: [Larino, hasProvince, Campobasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campobasso
Context triple: [Larino, hasProvince, Campobasso]
  • A. Campobasso chosen
    Campobasso is a historic city in southern-central Italy that serves as the capital of the Molise region, known for its medieval castle and traditional craftsmanship.
  • B. Pescasseroli
    Pescasseroli is a town in Italy’s Abruzzo region, best known as a gateway to the Abruzzo National Park and as the birthplace of philosopher and historian Benedetto Croce.
  • C. Civitanova Marche
    Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
  • D. Fossombrone
    Fossombrone is a historic town in Italy’s Marche region, known for its Renaissance architecture and scenic setting along the Metauro River.
  • E. Macerata
    Macerata is a historic hilltop city in Italy’s Marche region, known for its Renaissance architecture and renowned open-air opera festival at the Sferisterio arena.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98823408190b4b58a4c4a3fa3a3 completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff78dab488190a89b9eb4f648b36c completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 1:29 a.m.