Triple
T9173280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akawaio language |
E220131
|
entity |
| Predicate | SOVOrderTendency |
P56180
|
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: [Akawaio language, SOVOrderTendency, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SOVOrderTendency Context triple: [Akawaio language, SOVOrderTendency, yes]
-
A.
SOVOrderPossible
chosen
Indicates that a subject–object–verb (SOV) word order is grammatically possible in the language or construction being described.
-
B.
reversedTrendOf
Indicates that one trend is the inverse or opposite-direction counterpart of another trend, such that when one increases or moves in a certain direction, the other correspondingly decreases or moves in the opposite direction.
-
C.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
hasSVOOrder
Indicates that a language or construction follows a basic word order where the subject comes first, followed by the verb, and then the object.
-
E.
isOrderOf
Indicates that one entity specifies the sequence, arrangement, or ranking in which elements of another entity are organized or occur.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.