Triple

T18066394
Position Surface form Disambiguated ID Type / Status
Subject Wintuan E432304 entity
Predicate hasPart P35 FINISHED
Object Nomlaki 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: Nomlaki | Statement: [Wintuan, hasPart, Nomlaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nomlaki
Context triple: [Wintuan, hasPart, Nomlaki]
  • A. Nomlaki chosen
    Nomlaki are a Native American people of Northern California, traditionally part of the Wintun group and known for their distinct language and cultural practices.
  • B. Osicala
    Osicala is a small municipality located in the mountainous Morazán Department of northeastern El Salvador, known for its rural character and agricultural activities.
  • C. Looma
    Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce97ce08190a2f8762ce545e091 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.