Triple
T31682197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of Army Staff (Bangladesh) |
E808565
|
entity |
| Predicate | officeHoldersRankTo |
P32760
|
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: [Chief of Army Staff (Bangladesh), officeHoldersRankTo, General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHoldersRankTo Context triple: [Chief of Army Staff (Bangladesh), officeHoldersRankTo, General]
-
A.
officeHolderRankSometimes
Indicates that an office holder’s rank or level within a position can vary or apply only in certain situations or periods.
-
B.
rankHeldByOfficeholder
chosen
Indicates the specific rank or level associated with an office or position that is held by a particular officeholder.
-
C.
officeHoldersBelongTo
Indicates that designated office holders are affiliated with or part of a particular organization, institution, or administrative unit.
-
D.
officeHoldersWere
Indicates that certain individuals held specific offices or positions during a particular time or context.
-
E.
officeHoldersCan
Indicates that individuals holding an office are permitted or authorized to perform a specified action or exercise a particular power.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: April 30, 2026, 11:05 p.m.