Triple
T26541624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan Solidarity Union |
E671403
|
entity |
| Predicate | honoraryChairman |
P164288
|
FINISHED |
| Object | Lee Teng-hui |
—
|
NE NERFINISHED |
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: Lee Teng-hui | Statement: [Taiwan Solidarity Union, honoraryChairman, Lee Teng-hui]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoraryChairman Context triple: [Taiwan Solidarity Union, honoraryChairman, Lee Teng-hui]
-
A.
namedChairAt
Indicates that a person holds a specific named chair or endowed professorship position at an institution.
-
B.
lastChairman
Indicates that one entity served as the most recent (final or current) chairman of another entity.
-
C.
formerNonExecutiveChairman
Indicates that one entity previously held, but no longer holds, the role of non-executive chairman of another entity.
-
D.
hasChairmanTitle
Indicates that an entity holds the position or official title of chairman in relation to another entity or organization.
-
E.
chairperson
Indicates that one entity serves as the leader or head of a group, committee, or organization in relation to another entity.
- 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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 1:42 a.m.