Triple
T9191017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreol Seselwa |
E220587
|
entity |
| Predicate | hasAnalyticGrammar |
P86732
|
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: [Kreol Seselwa, hasAnalyticGrammar, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnalyticGrammar Context triple: [Kreol Seselwa, hasAnalyticGrammar, true]
-
A.
hasGrammar
Indicates that an entity possesses, follows, or is associated with a particular system of grammatical rules or structure.
-
B.
hasKnownGrammar
Indicates that an entity is associated with a grammar whose structure and rules are already defined or understood.
-
C.
hasAnalysis
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
D.
hasReferenceGrammar
Indicates that an entity is associated with or described by a specific reference grammar resource.
-
E.
hasDistinctGrammar
Indicates that the subject’s grammar system is different in structure or rules from that of the object.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:24 p.m.