Triple
T7035200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang family |
E163363
|
entity |
| Predicate | Chiang Wan-anPosition |
P74603
|
FINISHED |
| Object | Mayor of Taipei |
—
|
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: Mayor of Taipei | Statement: [Chiang family, Chiang Wan-anPosition, Mayor of Taipei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Chiang Wan-anPosition Context triple: [Chiang family, Chiang Wan-anPosition, Mayor of Taipei]
-
A.
ChineseLeader
Indicates that the subject is a person who holds or has held a top political leadership position in China.
-
B.
lastDeputyChairperson
Indicates that one entity served as the most recent deputy chairperson of another entity or organization.
-
C.
coChairpersonOf
Indicates that a person serves jointly with one or more others as the chairperson of a group, organization, or committee.
-
D.
Zhu YoujianRole
Indicates that an entity holds or is assigned a specific role or position in relation to Zhu Youjian.
-
E.
VietnameseLeader
Indicates that an entity holds or has held a leadership position or governing authority over Vietnam.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:36 p.m.