Triple
T1270855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutte III cabinet |
E15704
|
entity |
| Predicate | coalitionNegotiationLength |
P28059
|
FINISHED |
| Object | 225 days |
—
|
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: 225 days | Statement: [Rutte III cabinet, coalitionNegotiationLength, 225 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coalitionNegotiationLength Context triple: [Rutte III cabinet, coalitionNegotiationLength, 225 days]
-
A.
coalitionPotential
Indicates the potential or likelihood that two or more entities can form a cooperative alliance or coalition.
-
B.
negotiationPhase
Indicates the specific stage or step currently reached within an ongoing negotiation process between parties.
-
C.
negotiationRound
Indicates a specific stage or iteration within an ongoing negotiation process between parties.
-
D.
negotiationAssociatedWith
Indicates a relationship where a negotiation is connected to, involves, or is conducted by a particular entity (such as a person, organization, or group).
-
E.
typeOfNegotiation
Indicates the specific kind or category of negotiation process that characterizes the interaction between the involved parties.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.