Triple

T10714313
Position Surface form Disambiguated ID Type / Status
Subject Cominotto E252621 entity
Predicate locatedNear P294 FINISHED
Object Comino E51448 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: Comino | Statement: [Cominotto, locatedNear, Comino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comino
Context triple: [Cominotto, locatedNear, Comino]
  • A. Comino chosen
    Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
  • B. Pometino
    Pometino is the Italian demonym for a resident or native of the town of Pomezia in the Lazio region.
  • C. Aycinena
    Aycinena is a prominent Guatemalan family name historically associated with a powerful conservative elite involved in politics, commerce, and colonial-era governance in Central America.
  • D. Clusone
    Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
  • E. Cérons
    Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff324d1881908b7cdf4ac208125f completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2270ff1c81908ec1d37c7e9efd8a completed April 14, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:13 p.m.