Triple
T18066170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coosan languages |
E432298
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Coosan |
—
|
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: Coosan | Statement: [Coosan languages, glottologName, Coosan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coosan Context triple: [Coosan languages, glottologName, Coosan]
-
A.
Coosan
chosen
Coosan is a small family of Native American languages traditionally spoken along the southern Oregon coast by the Coos peoples.
-
B.
Miluk Coos
Miluk Coos is a subgroup of the Coos people, an Indigenous community traditionally inhabiting the southern Oregon coast.
-
C.
Barasana
Barasana is an indigenous Tucanoan language spoken by the Barasana people of the northwest Amazon region, primarily in Colombia.
-
D.
Qualicum
Qualicum is a residential neighbourhood in the former city of Nepean, now part of Ottawa, Ontario, known for its suburban character and proximity to parks and schools.
-
E.
Coëtquidan
Coëtquidan is a military area in Brittany, France, best known as the site of the prestigious École spéciale militaire de Saint-Cyr officer training academy.
- 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.