Triple
T20967935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Shui-bian |
E516418
|
entity |
| Predicate | officeEndTime (Mayor of Taipei) |
P79426
|
FINISHED |
| Object | 1998-12-25 |
—
|
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: 1998-12-25 | Statement: [Chen Shui-bian, officeEndTime (Mayor of Taipei), 1998-12-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Mayor of Taipei) Context triple: [Chen Shui-bian, officeEndTime (Mayor of Taipei), 1998-12-25]
-
A.
endTime (Mayor of Taipei)
chosen
Indicates the point in time at which a person’s tenure as Mayor of Taipei concludes.
-
B.
officeEndTime (Mayor of Vienna)
Indicates the time at which the Mayor of Vienna’s term in office concludes.
-
C.
startTime (Mayor of Taipei)
Indicates the specific point in time when a person begins serving as Mayor of Taipei.
-
D.
officeStartTime (Mayor of Vienna)
Indicates the time at which the Mayor of Vienna officially begins their term in office.
-
E.
officeEndTime (President of Mexico)
Indicates the time at which a President of Mexico’s term in office concludes.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:39 p.m.