Triple
T9011383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukpa language |
E215479
|
entity |
| Predicate | hasPossessiveMarking |
P72730
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Yukpa language, hasPossessiveMarking, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossessiveMarking Context triple: [Yukpa language, hasPossessiveMarking, true]
-
A.
hasCaseMarking
Indicates that a linguistic element (such as a noun or pronoun) bears a specific grammatical case marking that signals its syntactic or semantic role in a clause.
-
B.
hasPersonMarkingOnVerb
Indicates that the verb carries explicit grammatical marking that identifies or agrees with the person (e.g., first, second, third person) of its subject or argument.
-
C.
hasPossessionMarking
chosen
Indicates that there is an explicit grammatical or morphological marker signaling a possession relationship between entities.
-
D.
hasNounIncorporation
Indicates that a verb incorporates a noun root or stem into its own form, forming a single complex predicate that expresses both the action and its nominal participant.
-
E.
hasTenseAspectMoodMarkers
Indicates that an expression includes explicit markers specifying its tense, aspect, and/or mood.
- F. None of above.
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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:06 p.m.