Triple
T15644676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 監察院 |
E376147
|
entity |
| Predicate | previouslyHadFunction |
P20953
|
FINISHED |
| Object | 國會第二院性質（代表機關） |
—
|
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: 國會第二院性質（代表機關） | Statement: [監察院, previouslyHadFunction, 國會第二院性質（代表機關）]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyHadFunction Context triple: [監察院, previouslyHadFunction, 國會第二院性質（代表機關）]
-
A.
functionedBefore
Indicates that one entity was operational or in working order at an earlier time than another entity.
-
B.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
-
C.
hadFunction
chosen
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
D.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
E.
functionInPast
Indicates that an entity previously served or operated in a particular role, capacity, or function during an earlier time period.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed400ec8190a14a9f7cf3092865 |
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.