Triple
T4469173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshal of the People's Republic of China |
E98451
|
entity |
| Predicate | awardingInstrument |
P56704
|
FINISHED |
| Object | 1955 PLA rank regulations |
—
|
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: 1955 PLA rank regulations | Statement: [Marshal of the People's Republic of China, awardingInstrument, 1955 PLA rank regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingInstrument Context triple: [Marshal of the People's Republic of China, awardingInstrument, 1955 PLA rank regulations]
-
A.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
hasSeparateAwardFor
Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
-
D.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
E.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.