Triple
T619050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutte I cabinet |
E14469
|
entity |
| Predicate | coalitionType |
P17174
|
FINISHED |
| Object | two-party coalition |
—
|
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: two-party coalition | Statement: [Rutte I cabinet, coalitionType, two-party coalition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coalitionType Context triple: [Rutte I cabinet, coalitionType, two-party coalition]
-
A.
memberOfPoliticalCoalition
Indicates that an entity belongs to or participates as a constituent member in a specific political coalition.
-
B.
keyCoalition
Indicates a coalition relationship where an entity plays a central or decisive role within that coalition.
-
C.
coalitionPartnerWith
Indicates that two entities are formally aligned in a cooperative coalition, sharing goals or actions as partners within that coalition.
-
D.
allianceType
Indicates the specific kind or category of alliance relationship that exists between entities.
-
E.
electedPresidentCoalition
Indicates that an entity became president as a result of support from a specific coalition or alliance.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e25956c8190a1eed87002548658 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfe9bc081909a01b4b3b48f03b7 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.