Triple
T22695306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLICdet |
E561157
|
entity |
| Predicate | mitigationStrategy |
P149336
|
FINISHED |
| Object | timing cuts and fine granularity |
—
|
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: timing cuts and fine granularity | Statement: [CLICdet, mitigationStrategy, timing cuts and fine granularity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mitigationStrategy Context triple: [CLICdet, mitigationStrategy, timing cuts and fine granularity]
-
A.
builtAsMitigationFor
Indicates that one entity was constructed specifically to reduce, prevent, or counteract a particular risk, problem, or adverse impact associated with another entity.
-
B.
requiresMitigation
Indicates that something poses a risk or issue that must be addressed through specific mitigation actions or measures.
-
C.
avoidanceStrategy
Indicates a relationship where one entity deliberately takes actions or adopts behaviors to evade, minimize, or escape interaction, contact, or confrontation with another entity or situation.
-
D.
missionStrategy
Indicates the overarching plan, approach, or method an entity adopts to achieve a specific mission or objective.
-
E.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789e05d88190b9d51bb3f8e3e9d4 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:14 p.m.