Triple
T20664289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naʼvi |
E507841
|
entity |
| Predicate | hasCanonicalWordOrder |
P1249
|
FINISHED |
| Object | flexible (often VOS or SVO) |
—
|
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: flexible (often VOS or SVO) | Statement: [Naʼvi, hasCanonicalWordOrder, flexible (often VOS or SVO)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalWordOrder Context triple: [Naʼvi, hasCanonicalWordOrder, flexible (often VOS or SVO)]
-
A.
hasBasicWordOrder
chosen
Indicates the typical sequence in which core sentence elements (such as subject, verb, and object) are ordered in a language.
-
B.
hasV2WordOrder
Indicates that a clause or language follows verb-second (V2) word order, where the finite verb consistently appears in the second position of the sentence.
-
C.
hasCanonicalOrderWithinOrganon
Indicates that one element occupies a specific, authoritative sequence position within the structured whole referred to as the Organon.
-
D.
hasVerseOrder
Indicates that one verse is ordered or sequenced in relation to another verse within a structured text.
-
E.
hasCanonicalOrderInQuran
Indicates that there is a specific, officially recognized sequence or position of something within the canonical ordering of the Quran.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f541bc8190ac7946b91647f2b0 |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.