Triple
T17372011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pan-Blue Coalition |
E422338
|
entity |
| Predicate | positionOnUnification |
P96243
|
FINISHED |
| Object | more open to eventual Chinese unification |
—
|
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: more open to eventual Chinese unification | Statement: [pan-Blue Coalition, positionOnUnification, more open to eventual Chinese unification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnUnification Context triple: [pan-Blue Coalition, positionOnUnification, more open to eventual Chinese unification]
-
A.
positionOnUnion
chosen
Indicates the stance or viewpoint an entity holds regarding a union, such as support, opposition, or neutrality.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionOnNeutrality
Indicates the stance or viewpoint an entity holds regarding neutrality in a given context (e.g., political, ethical, or diplomatic).
-
E.
positionOnIdentity
Indicates a stance, view, or opinion that an entity holds regarding identity-related issues or characteristics.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a69d93c81908ce2d909857a3a11 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.