Triple
T16568426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grdelica train bombing |
E402521
|
entity |
| Predicate | NATOExplanation |
P124090
|
FINISHED |
| Object | train entered target area after weapon release |
—
|
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: train entered target area after weapon release | Statement: [Grdelica train bombing, NATOExplanation, train entered target area after weapon release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NATOExplanation Context triple: [Grdelica train bombing, NATOExplanation, train entered target area after weapon release]
-
A.
NATOCategory
Indicates that an entity is classified according to a specific NATO-defined category or designation.
-
B.
NATOname
Indicates that an entity has a specific official name as recognized or used by NATO.
-
C.
NATOcode
Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
-
D.
stanceOnNATO
Indicates a subject’s expressed position, attitude, or policy toward NATO as an organization or alliance.
-
E.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.