Triple
T15656833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wintu language |
E376462
|
entity |
| Predicate | hasPossessiveAffixes |
P119622
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Wintu language, hasPossessiveAffixes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossessiveAffixes Context triple: [Wintu language, hasPossessiveAffixes, yes]
-
A.
hasPrepositionalPrefix
Indicates that one entity functions as a prepositional prefix attached to or modifying another entity.
-
B.
hasAdjectiveEnding
Indicates that something possesses or is marked by a particular adjective-like ending or suffix.
-
C.
hasNounEnding
Indicates that something possesses or exhibits a particular noun-forming ending or suffix.
-
D.
hasAdjectiveForm
Indicates that one term is the adjective form derived from another related term (such as a noun or verb).
-
E.
hasPrepositions
Indicates that one entity includes, uses, or is associated with one or more prepositions in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:15 a.m.