Triple
T619073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutte I cabinet |
E14469
|
entity |
| Predicate | coalitionColor |
P17176
|
FINISHED |
| Object | centre-right liberal–Christian democratic |
—
|
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: centre-right liberal–Christian democratic | Statement: [Rutte I cabinet, coalitionColor, centre-right liberal–Christian democratic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coalitionColor Context triple: [Rutte I cabinet, coalitionColor, centre-right liberal–Christian democratic]
-
A.
partyColor
Indicates the political party affiliation or ideological group with which an entity is associated, typically represented by a specific color.
-
B.
keyCoalition
Indicates a coalition relationship where an entity plays a central or decisive role within that coalition.
-
C.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
D.
memberOfPoliticalCoalition
Indicates that an entity belongs to or participates as a constituent member in a specific political coalition.
-
E.
coalitionPartnerWith
Indicates that two entities are formally aligned in a cooperative coalition, sharing goals or actions as partners within that coalition.
- 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.