Triple
T28790875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin Chuan |
E726947
|
entity |
| Predicate | tenureContext |
P152575
|
FINISHED |
| Object | early years of Tsai Ing-wen administration |
—
|
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: early years of Tsai Ing-wen administration | Statement: [Lin Chuan, tenureContext, early years of Tsai Ing-wen administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureContext Context triple: [Lin Chuan, tenureContext, early years of Tsai Ing-wen administration]
-
A.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
B.
tenureCharacteristic
Indicates a relationship where a specific attribute or quality characterizes the duration or conditions of someone’s or something’s tenure.
-
C.
tenureDependsOn
Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
-
D.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
E.
initialTenure
chosen
Indicates the starting period or first phase of someone’s tenure in a role, position, or organization.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:23 a.m.