Triple
T15660872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Judicial Yuan |
E376561
|
entity |
| Predicate | officeHolderHsuTzongLiStart |
P537
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [President of the Judicial Yuan, officeHolderHsuTzongLiStart, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderHsuTzongLiStart Context triple: [President of the Judicial Yuan, officeHolderHsuTzongLiStart, 2016]
-
A.
officeHolderIs
Indicates that one entity serves as the office holder (e.g., official or position occupant) of another entity, such as an office, role, or institution.
-
B.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
C.
headOfGovernmentStart
Indicates the date or point in time when an individual begins serving as the head of government of a political entity.
-
D.
officeEnd (Chairman of State Council)
Indicates the date or point in time when an entity’s tenure as Chairman of the State Council comes to an end.
-
E.
officeHolderOf
chosen
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.