Triple
T6933677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Rangers |
E160497
|
entity |
| Predicate | DirectorGeneralRank |
P74358
|
FINISHED |
| Object | Major General |
—
|
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: Major General | Statement: [Pakistan Rangers, DirectorGeneralRank, Major General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DirectorGeneralRank Context triple: [Pakistan Rangers, DirectorGeneralRank, Major General]
-
A.
chiefOfGeneralStaff
Indicates that a person holds the position of Chief of the General Staff in relation to a specific military organization or armed forces.
-
B.
militaryDirector
Indicates that one entity serves as the military director or chief military authority for another entity.
-
C.
commanderInChiefRank
Indicates that an entity holds the highest-ranking leadership position over a military or armed forces organization.
-
D.
directorGeneralStart
Indicates the date or point in time when an individual begins serving as a director general of an organization or entity.
-
E.
chiefOfStaff
Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:27 p.m.