Triple
T18065927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konkow language |
E432292
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Maiduan |
—
|
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: Maiduan | Statement: [Konkow language, family, Maiduan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maiduan Context triple: [Konkow language, family, 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 (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_69e4cce81de88190bd94d4ccee3e180c |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.