Triple
T37442834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJCSC |
E930465
|
entity |
| Predicate | isHighestRankingMilitaryOfficerIn |
P56766
|
FINISHED |
| Object | Pakistan |
—
|
NE NERFINISHED |
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: Pakistan | Statement: [CJCSC, isHighestRankingMilitaryOfficerIn, Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHighestRankingMilitaryOfficerIn Context triple: [CJCSC, isHighestRankingMilitaryOfficerIn, Pakistan]
-
A.
isHighestRankedUniformedOfficerIn
chosen
Indicates that one entity holds the top-ranking position among all uniformed officers within a specified organization or jurisdiction.
-
B.
isSeniorMostCommanderOf
Indicates that one entity holds the highest level of command authority over another entity, surpassing all other commanders in rank or seniority.
-
C.
isHighestActiveNavyRank
Indicates that the subject holds the highest currently active rank within a navy, above all other active naval ranks.
-
D.
isHighestCeremonialRankIn
Indicates that an entity holds the top ceremonial position or title within a specified group, organization, or jurisdiction.
-
E.
hasGeneralOfficerRank
Indicates that an entity holds a military rank at the general officer level.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.