Triple
T3653126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Army |
E77467
|
entity |
| Predicate | currentCommanderInChiefRank |
P543
|
FINISHED |
| Object | 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: General | Statement: [Pakistan Army, currentCommanderInChiefRank, General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCommanderInChiefRank Context triple: [Pakistan Army, currentCommanderInChiefRank, General]
-
A.
commanderUnitedStates
Indicates that one entity serves as the commander of a United States military or governmental unit, mission, or operation.
-
B.
isCommanderInChiefOf
chosen
Indicates that one entity holds the highest authority and ultimate command over the armed forces or military organization of another entity.
-
C.
presidentialLineOfSuccessionRank
Indicates the position an individual holds in the ordered sequence of officials designated to assume the presidency if the office becomes vacant.
-
D.
currentSpeakerAssumedOffice
Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
-
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.
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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.