Triple
T14447990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brave Talk |
E358255
|
entity |
| Predicate | dataCollectionFocus |
P67289
|
FINISHED |
| Object | minimal data collection |
—
|
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: minimal data collection | Statement: [Brave Talk, dataCollectionFocus, minimal data collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCollectionFocus Context triple: [Brave Talk, dataCollectionFocus, minimal data collection]
-
A.
collectsDataFor
Indicates that one entity gathers or records data on behalf of, or for the benefit of, another entity.
-
B.
dataCollectionLocation
Indicates the place or setting where data is gathered, recorded, or measured.
-
C.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
D.
dataCollectionLevel
chosen
Indicates the extent or granularity at which data is gathered or recorded within a given context or system.
-
E.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.