Triple
T7385230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Residence of the President of the Republic of China |
E170362
|
entity |
| Predicate | usedContinuouslySince |
P2935
|
FINISHED |
| Object | post-World War II era |
—
|
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: post-World War II era | Statement: [Official Residence of the President of the Republic of China, usedContinuouslySince, post-World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedContinuouslySince Context triple: [Official Residence of the President of the Republic of China, usedContinuouslySince, post-World War II era]
-
A.
usedSince
chosen
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
B.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
C.
areUsedSince
Indicates that entities have been in use continuously starting from a specified point in time.
-
D.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
controlledSince
Indicates that one entity has held control or authority over another entity starting from a specified point in time.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1efe1308190b96eefbff56140be |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.