Triple
T38309517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regor (cut-down) |
E1033645
|
entity |
| Predicate | coreDisabledCount |
P190630
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Regor (cut-down), coreDisabledCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreDisabledCount Context triple: [Regor (cut-down), coreDisabledCount, 1]
-
A.
canBeDisabledOn
Indicates that a feature, function, or capability has the property that it can be turned off or deactivated when applied to the referenced entity.
-
B.
nonScoringDisplacersCount
Indicates the number of displacements or displacing elements that do not contribute to a score or point total.
-
C.
dropCount
Indicates the number of times an entity has been dropped or caused to drop something.
-
D.
performanceCount
Indicates the number of times a particular performance, event, or action has occurred or been carried out.
-
E.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.