Triple
T27666507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 state of emergency in Pakistan |
E697240
|
entity |
| Predicate | numberOfJudgesRefusingOath |
P2279
|
FINISHED |
| Object | dozens |
—
|
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: dozens | Statement: [2007 state of emergency in Pakistan, numberOfJudgesRefusingOath, dozens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfJudgesRefusingOath Context triple: [2007 state of emergency in Pakistan, numberOfJudgesRefusingOath, dozens]
-
A.
penaltyForRefusalOfOath
Indicates that a penalty is imposed on an entity for refusing to take a required oath.
-
B.
firstJudgesSwornIn
Indicates that the initial group of judges in a given judicial body or context has formally taken the oath of office for the first time.
-
C.
oathSwornBefore
Indicates that an oath or solemn promise has been formally declared in the presence of a specified person, group, or authority.
-
D.
numberOfJudges
chosen
Indicates the total count of judges associated with a particular case, event, or entity.
-
E.
timeOfOath
Indicates the specific time at which an oath is made, taken, or becomes effective.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 27, 2026, 2:38 p.m.