Triple
T30684486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danby ministry |
E781145
|
entity |
| Predicate | opposedCountryInForeignPolicy |
P23116
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Danby ministry, opposedCountryInForeignPolicy, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedCountryInForeignPolicy Context triple: [Danby ministry, opposedCountryInForeignPolicy, France]
-
A.
primaryOpposingCountry
Indicates that one country is the main or principal adversary or opponent of another country in a conflict, rivalry, or opposition.
-
B.
diplomaticPolicy
Indicates the stance, strategy, or set of guiding principles an entity adopts in managing its diplomatic relations and interactions with others.
-
C.
countryOfOpposition
Indicates the country in which an entity faces opposition, resistance, or adversarial activity.
-
D.
politicalRelation
Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
-
E.
positionOnForeignPolicy
chosen
Indicates a stance or viewpoint an entity holds regarding international relations, diplomacy, and global political issues.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:33 p.m.