Triple
T41149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Protester |
E811
|
entity |
| Predicate | selectionReason |
P3364
|
FINISHED |
| Object | impact of mass protests on politics |
—
|
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: impact of mass protests on politics | Statement: [The Protester, selectionReason, impact of mass protests on politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionReason Context triple: [The Protester, selectionReason, impact of mass protests on politics]
-
A.
selectionMadeBy
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
-
B.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
C.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
D.
selectionProcess
Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
-
E.
decisionLanguage
Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24db9527c8190816b6b25c88cb2f4 |
completed | Feb. 28, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69a24ab8a8908190beec6da6694dd4c9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24db81c748190948560892f12c61b |
completed | Feb. 28, 2026, 2:06 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.