Triple
T25502278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melun talks |
E639146
|
entity |
| Predicate | diplomaticProcessType |
P52594
|
FINISHED |
| Object | bilateral negotiation |
—
|
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: bilateral negotiation | Statement: [Melun talks, diplomaticProcessType, bilateral negotiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diplomaticProcessType Context triple: [Melun talks, diplomaticProcessType, bilateral negotiation]
-
A.
diplomaticType
Indicates the specific category or nature of a diplomatic relationship or role that exists between entities.
-
B.
diplomaticActivity
chosen
Indicates engagement in formal or informal diplomatic actions or interactions between parties, such as negotiations, consultations, or representation.
-
C.
diplomaticOutcome
Indicates the result or consequence of a diplomatic interaction, negotiation, or relationship between parties.
-
D.
diplomaticPolicy
Indicates the stance, strategy, or set of guiding principles an entity adopts in managing its diplomatic relations and interactions with others.
-
E.
hasDiplomaticForm
Indicates that an entity maintains a specific type or mode of diplomatic representation or relations.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f802b5f8819081583610e0c59421 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:45 p.m.