Triple
T8703409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duan Qirui |
E206587
|
entity |
| Predicate | termAsActingPresidentStart |
P84636
|
FINISHED |
| Object | 1924 |
—
|
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: 1924 | Statement: [Duan Qirui, termAsActingPresidentStart, 1924]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsActingPresidentStart Context triple: [Duan Qirui, termAsActingPresidentStart, 1924]
-
A.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
B.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
C.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
D.
inaugurationDate
Indicates the date on which an official ceremony formally installs a person into a specific office or position.
-
E.
endTimeAsInterimPresident
Indicates the point in time at which an individual's tenure serving as interim president concludes.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fa0a208190a520e0e1f7faaea9 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc582412f48190ae819965bfb0e75d |
completed | March 31, 2026, 11:26 p.m. |
Created at: March 30, 2026, 6:34 p.m.