Triple
T2559622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO–Russia relations |
E57210
|
entity |
| Predicate | dialogueStatusAfter2022 |
P40466
|
FINISHED |
| Object | severely limited |
—
|
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: severely limited | Statement: [NATO–Russia relations, dialogueStatusAfter2022, severely limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueStatusAfter2022 Context triple: [NATO–Russia relations, dialogueStatusAfter2022, severely limited]
-
A.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
B.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
C.
hasPoliticalDialogue
Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
-
D.
hasDebatedStatus
Indicates that an entity has participated in or been assigned a particular status related to a debate or debating activity.
-
E.
negotiatedAfter
Indicates that one negotiation event occurred later in time than another referenced event or negotiation.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd35b216881908f4ef32d1c1e5080 |
completed | March 7, 2026, 7:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.