Triple

T14565762
Position Surface form Disambiguated ID Type / Status
Subject Lorrain Romance E341780 entity
Predicate hasDialect P4251 FINISHED
Object Gaumais E506576 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: Gaumais | Statement: [Lorrain Romance, hasDialect, Gaumais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaumais
Context triple: [Lorrain Romance, hasDialect, Gaumais]
  • A. Gaumais chosen
    Gaumais is a regional Romance dialect spoken in the Gaume area of southern Belgium, closely related to other Lorrain varieties.
  • B. Mauzy
    Mauzy is the surname of American actress Mackenzie Mauzy, known for her roles in television and film.
  • C. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • D. Gullac
    Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
  • E. Muchea
    Muchea is a small rural locality in Western Australia, north of Perth, known as a junction point for major highways and nearby agricultural areas.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac485688190a2917251a7c8721a completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.