Triple
T5679341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union at CELAC–EU summits |
E125161
|
entity |
| Predicate | dialogueLevel |
P65931
|
FINISHED |
| Object | heads of state and government |
—
|
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: heads of state and government | Statement: [European Union at CELAC–EU summits, dialogueLevel, heads of state and government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueLevel Context triple: [European Union at CELAC–EU summits, dialogueLevel, heads of state and government]
-
A.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
B.
dialogueDominance
Indicates that one participant exerts greater control or influence over the flow, topics, or outcomes of a dialogue than the other(s).
-
C.
dialoguePosition
Indicates the relative placement or ordering of an utterance or turn within a dialogue or conversational sequence.
-
D.
numberOfDialogues
Indicates the total count of dialogues associated with or occurring between the referenced entities.
-
E.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0252e18988190a8f3aa0684c12fb8 |
completed | March 22, 2026, 5:21 p.m. |
Created at: March 22, 2026, 3:44 p.m.