Triple
T12433482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karawane |
E297086
|
entity |
| Predicate | originalIntendedMode |
P104495
|
FINISHED |
| Object | live recitation |
—
|
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: live recitation | Statement: [Karawane, originalIntendedMode, live recitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalIntendedMode Context triple: [Karawane, originalIntendedMode, live recitation]
-
A.
originalMode
Indicates that something preserves, reflects, or is associated with its initial or default mode of operation or state.
-
B.
originalIntendedStatus
Indicates the status that was initially planned or expected for an entity before any changes or updates occurred.
-
C.
intendedPerformanceMode
chosen
Indicates the manner or mode in which an action, process, or performance is meant or designed to be carried out.
-
D.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
E.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.