Triple
T31742772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Working Mechanism for Consultation and Coordination on India-China Border Affairs |
E810183
|
entity |
| Predicate | levelOfDialogue |
P65931
|
FINISHED |
| Object | diplomatic |
—
|
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: diplomatic | Statement: [Working Mechanism for Consultation and Coordination on India-China Border Affairs, levelOfDialogue, diplomatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfDialogue Context triple: [Working Mechanism for Consultation and Coordination on India-China Border Affairs, levelOfDialogue, diplomatic]
-
A.
dialogueLevel
chosen
Indicates the degree or intensity of conversational interaction occurring between entities.
-
B.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
C.
dialogue
Indicates that two or more entities are engaged in an exchange of spoken or written communication with each other.
-
D.
debateLevel
Indicates the intensity or extent of disagreement, discussion, or controversy surrounding a particular subject or interaction.
-
E.
dialogueDominance
Indicates that one participant exerts greater control or influence over the flow, topics, or outcomes of a dialogue than the other(s).
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab4a67348190b431329957c70213 |
completed | May 3, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:25 p.m.