Triple

T10438608
Position Surface form Disambiguated ID Type / Status
Subject Maidu language E246106 entity
Predicate hasAlternativeName P39 FINISHED
Object Maiduan E432296 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: Maiduan | Statement: [Maidu language, hasAlternativeName, Maiduan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maiduan
Context triple: [Maidu language, hasAlternativeName, Maiduan]
  • A. Maiduan chosen
    Maiduan is a small family of Native American languages historically spoken in northeastern California by the Maidu people.
  • B. Daroca
    Daroca is a historic fortified town in northeastern Spain known for its medieval walls, towers, and well-preserved old quarter.
  • C. Calatayud
    Calatayud is a historic town in northeastern Spain known for its Mudéjar architecture and strategic location along the Jalón River.
  • D. Caseres
    Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
  • E. Uclés
    Uclés is a historic town in central Spain best known for its imposing monastery-fortress that served as a major stronghold of the medieval military orders.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ba23c81909eac3aea292b2bd3 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89f98a2a0819093e029d940c59508 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:14 p.m.