Triple
T36339932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 張學良 |
E894884
|
entity |
| Predicate | surrenderedPower |
P29098
|
FINISHED |
| Object | 宣佈東北易幟，接受南京國民政府領導 |
—
|
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: 宣佈東北易幟，接受南京國民政府領導 | Statement: [張學良, surrenderedPower, 宣佈東北易幟，接受南京國民政府領導]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surrenderedPower Context triple: [張學良, surrenderedPower, 宣佈東北易幟，接受南京國民政府領導]
-
A.
surrenderedAfter
Indicates that one entity surrendered following or as a consequence of another specified event, action, or time.
-
B.
surrenderedIn
chosen
Indicates that an entity yielded or gave up control, power, or resistance within a specific event, context, or situation.
-
C.
typeOfSurrender
Indicates the specific manner or category of surrender that characterizes how one party yields or gives up to another.
-
D.
surrenderEvent
Indicates an event in which one party yields or gives up control, rights, or resistance to another party.
-
E.
seizedPowerAfter
Indicates that one entity took control or authority from another entity following a specified event or 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.