Triple
T25585304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mil Mi-14 |
E641362
|
entity |
| Predicate | Mi-14PSRole |
P159458
|
FINISHED |
| Object | search and rescue |
—
|
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: search and rescue | Statement: [Mil Mi-14, Mi-14PSRole, search and rescue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Mi-14PSRole Context triple: [Mil Mi-14, Mi-14PSRole, search and rescue]
-
A.
Mi-14BTRole
Indicates a role or function specifically associated with the Mi-14BT variant within a broader system or context.
-
B.
isHelicopterVariantOf
Indicates that one helicopter model is a modified or derived version of another helicopter model.
-
C.
isHelicopterOf
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
D.
helicopterMass
Indicates the mass associated with a helicopter.
-
E.
isLargestHelicopterEverBuilt
Indicates that the subject is the largest helicopter ever constructed in terms of size, capacity, or overall dimensions compared to all other helicopters.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9698c3c8190b93af7d959ecd7c1 |
completed | May 2, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 4:15 p.m.