Triple
T25563615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Liberation Army (Macedonia) |
E640777
|
entity |
| Predicate | opponentsCharacterizedAs |
P148921
|
FINISHED |
| Object | separatist insurgents |
—
|
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: separatist insurgents | Statement: [National Liberation Army (Macedonia), opponentsCharacterizedAs, separatist insurgents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opponentsCharacterizedAs Context triple: [National Liberation Army (Macedonia), opponentsCharacterizedAs, separatist insurgents]
-
A.
opponentsDescription
chosen
Indicates that a description is provided of the opposing side or competitors in a conflict, contest, or disagreement.
-
B.
consideredOpponentsAs
Indicates that one entity regarded or treated another entity as an opponent or adversary.
-
C.
opponentSupporters
Indicates that the related entities are supporters or backers of opposing sides in a contest, conflict, or competition.
-
D.
isOppositionCounterpartOf
Indicates a relationship where one entity serves as the opposing or counterpart force, side, or position to another within a conflict, competition, or contrast.
-
E.
opponentsCount
Indicates the number of distinct opposing entities involved in a given context or interaction.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8fa9fa0819098761026a7f9353d |
completed | May 2, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:48 p.m.