Triple
T6528240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balanta |
E151359
|
entity |
| Predicate | initiationFeature |
P71433
|
FINISHED |
| Object | secret knowledge transmission |
—
|
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: secret knowledge transmission | Statement: [Balanta, initiationFeature, secret knowledge transmission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiationFeature Context triple: [Balanta, initiationFeature, secret knowledge transmission]
-
A.
initiationStatus
Indicates the current state or phase of beginning or starting a process, activity, or relationship between entities.
-
B.
initiationLevels
Indicates the degree or stage at which an action, process, or relationship is begun or set in motion between entities.
-
C.
initiator
Indicates the entity that starts, triggers, or causes an action, event, or process to occur.
-
D.
debutFeatureOf
Indicates that one entity is the first major or initial feature (such as a debut work or appearance) associated with another entity.
-
E.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada9c8408190b1bc327985366be9 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:46 p.m.