Triple
T28269481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China politics |
E712803
|
entity |
| Predicate | keyDemocratizationEvent |
P164224
|
FINISHED |
| Object | lifting of martial law in 1987 |
—
|
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: lifting of martial law in 1987 | Statement: [Republic of China politics, keyDemocratizationEvent, lifting of martial law in 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyDemocratizationEvent Context triple: [Republic of China politics, keyDemocratizationEvent, lifting of martial law in 1987]
-
A.
keyElection
Indicates that an election is of central or decisive importance within a political or organizational context.
-
B.
keyParty
Indicates a relationship where an entity is a primary or essential participant in an event, agreement, or situation.
-
C.
keyCeremony
Indicates the performance of a formal process in which cryptographic keys are generated, distributed, or activated under controlled and verifiable conditions.
-
D.
keyProponent
Indicates that the subject is a primary supporter, advocate, or driving force behind the object.
-
E.
keyPetition
Indicates that an entity serves as the primary or central petition associated with another entity or context.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6441fa00c819092afb06beb9fb252 |
completed | May 2, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:17 p.m.