Triple
T27040107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deputy Chief of the General Staff of the People's Liberation Army |
E684461
|
entity |
| Predicate | typicalNumberOfOfficeHolders |
P3416
|
FINISHED |
| Object | multiple concurrent deputies |
—
|
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: multiple concurrent deputies | Statement: [Deputy Chief of the General Staff of the People's Liberation Army, typicalNumberOfOfficeHolders, multiple concurrent deputies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfOfficeHolders Context triple: [Deputy Chief of the General Staff of the People's Liberation Army, typicalNumberOfOfficeHolders, multiple concurrent deputies]
-
A.
officeHoldersNumber
chosen
Indicates the number of individuals who hold a particular office or position.
-
B.
firstOfficeHoldersCount
Indicates the number of individuals who initially held a particular office or position.
-
C.
officeHoldersNumberPerTerm
Indicates the number of individuals who hold a given office during a single specified term.
-
D.
officeHoldersAreUsually
Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
-
E.
officeHolderCountIncludes
Indicates that a specified count or total explicitly includes the number of individuals holding a particular office or position.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: April 27, 2026, 8:04 a.m.