Triple
T3380605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coalition for Change |
E71172
|
entity |
| Predicate | supportedPartyOrientation |
P17585
|
FINISHED |
| Object | conservative parties |
—
|
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: conservative parties | Statement: [Coalition for Change, supportedPartyOrientation, conservative parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedPartyOrientation Context triple: [Coalition for Change, supportedPartyOrientation, conservative parties]
-
A.
supportsInternationalOrientation
Indicates that one entity facilitates, promotes, or enables the international focus, outlook, or activities of another entity.
-
B.
supportedSide
chosen
Indicates that one entity backed, favored, or provided assistance to a particular side or party in a conflict, dispute, or competition.
-
C.
valueOrientation
Indicates how an entity’s preferences, priorities, or attitudes are directed toward particular values or value systems.
-
D.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
E.
majorityOrientation
Indicates that one orientation or direction is held by more than half of the relevant entities in a given context.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e7c7f48190afb78c311b424c93 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.