Triple
T25575902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mil Mi-12 |
E641105
|
entity |
| Predicate | isLargestHelicopterEverBuilt |
P159144
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mil Mi-12, isLargestHelicopterEverBuilt, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestHelicopterEverBuilt Context triple: [Mil Mi-12, isLargestHelicopterEverBuilt, true]
-
A.
isHelicopterOf
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
B.
isHelicopterVariantOf
Indicates that one helicopter model is a modified or derived version of another helicopter model.
-
C.
helicopterMass
Indicates the mass associated with a helicopter.
-
D.
isHelicopterOnly
Indicates that the subject is restricted to or designated exclusively for use by helicopters.
-
E.
usedHelicopterModel
Indicates that a particular helicopter model was employed or utilized in relation to a given event, operation, or activity.
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9306d408190b05bc82de8ecfb84 |
completed | May 2, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 4:01 p.m.