Triple
T2170504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Entente |
E48411
|
entity |
| Predicate | diplomaticOrientation |
P16225
|
FINISHED |
| Object | pro-French |
—
|
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: pro-French | Statement: [Little Entente, diplomaticOrientation, pro-French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diplomaticOrientation Context triple: [Little Entente, diplomaticOrientation, pro-French]
-
A.
diplomaticRelation
Indicates a formal relationship of negotiation, communication, or representation between political entities, typically states or governments.
-
B.
diplomaticSupportFrom
chosen
Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
-
C.
diplomaticOutcome
Indicates the result or consequence of a diplomatic interaction, negotiation, or relationship between parties.
-
D.
diplomaticRelationContext
Indicates the contextual circumstances, conditions, or framework within which a diplomatic relationship between entities exists or is conducted.
-
E.
diplomaticPost
Indicates that an entity holds or is assigned to an official diplomatic position or mission representing one state or organization to another.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.