Triple

T13413569
Position Surface form Disambiguated ID Type / Status
Subject Mont-Saint-Aignan E320150 entity
Predicate hasTwinTown P919 FINISHED
Object Osica de Sus E317116 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: Osica de Sus | Statement: [Mont-Saint-Aignan, hasTwinTown, Osica de Sus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osica de Sus
Context triple: [Mont-Saint-Aignan, hasTwinTown, Osica de Sus]
  • A. Osica de Sus chosen
    Osica de Sus is a commune in Olt County, southern Romania, known for its rural character and local agricultural activities.
  • B. Ossoli
    Ossoli is an Italian surname historically associated with figures such as Angelo Eugene Ossoli and the noble Ossoli family.
  • C. Noasca
    Noasca is a small Italian mountain village in the Piedmont region, known as a gateway to the Gran Paradiso National Park and a base for alpine hiking and nature tourism.
  • D. Mundruczó
    Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
  • E. Besisi
    Besisi is an Aslian (Austroasiatic) language traditionally spoken by an indigenous Semang (Orang Asli) community in Peninsular Malaysia.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.