Triple
T1655333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egegik |
E35784
|
entity |
| Predicate | typicalBasicWordOrder |
P1249
|
FINISHED |
| Object | SOV (subject–object–verb) |
—
|
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: SOV (subject–object–verb) | Statement: [Egegik, typicalBasicWordOrder, SOV (subject–object–verb)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBasicWordOrder Context triple: [Egegik, typicalBasicWordOrder, SOV (subject–object–verb)]
-
A.
hasBasicWordOrder
chosen
Indicates the typical sequence in which core sentence elements (such as subject, verb, and object) are ordered in a language.
-
B.
primaryGrammaticalBasis
Indicates that one element serves as the main grammatical foundation or core structure upon which another linguistic element is based or constructed.
-
C.
usesPostpositions
Indicates that one entity employs postpositions, placing relational or grammatical markers after the words they modify rather than before them.
-
D.
traditionalOrder
Indicates that entities are arranged or occur according to a customary, historically established sequence or hierarchy.
-
E.
grammaticalStructure
Indicates the way linguistic elements are organized and related within a sentence or phrase according to grammatical rules.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.