Triple
T26953577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktoechus |
E678837
|
entity |
| Predicate | hasModeType |
P99632
|
FINISHED |
| Object | authentic mode |
—
|
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: authentic mode | Statement: [Oktoechus, hasModeType, authentic mode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModeType Context triple: [Oktoechus, hasModeType, authentic mode]
-
A.
hasModeCategory
chosen
Indicates that something is associated with or classified under a particular mode category (e.g., type or manner of operation or behavior).
-
B.
hasModeSystem
Indicates that one entity operates under, or is associated with, a particular mode defined or managed by another system.
-
C.
hasModeName
Indicates that an entity is associated with a specific mode identified by a particular name.
-
D.
hasModeConnection
Indicates a relationship where one entity is linked to another through a specific mode, method, or type of connection.
-
E.
hasPrimaryModeSupported
Indicates that an entity supports a particular mode as its main or default mode of operation.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 6:26 a.m.