Triple
T13872705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Den-yih |
E333493
|
entity |
| Predicate | positionHeldFor |
P8
|
FINISHED |
| Object | Vice President of the Republic of China, 2012–2016 |
—
|
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: Vice President of the Republic of China, 2012–2016 | Statement: [Wu Den-yih, positionHeldFor, Vice President of the Republic of China, 2012–2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldFor Context triple: [Wu Den-yih, positionHeldFor, Vice President of the Republic of China, 2012–2016]
-
A.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
firstHeldFor
Indicates the initial time period or event during which an entity was first held, possessed, or hosted by another entity.
-
C.
isHeldAt
Indicates that an event, state, or condition occurs or is in effect at a specific time or temporal point.
-
D.
lastHeldIn
Indicates that an event or state most recently took place or was hosted in a particular location or context.
-
E.
recordHeldFor
Indicates that one entity is being kept, stored, or maintained on behalf of or in relation to another entity.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.