Triple
T38593941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEKA |
E932517
|
entity |
| Predicate | hasVehicleClass |
P109335
|
FINISHED |
| Object | MEKA combat unit |
—
|
NE NERFINISHED |
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: MEKA combat unit | Statement: [MEKA, hasVehicleClass, MEKA combat unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVehicleClass Context triple: [MEKA, hasVehicleClass, MEKA combat unit]
-
A.
hasCarClass
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
B.
mainVehicleClass
chosen
Indicates the primary category or type of vehicle to which an entity chiefly belongs.
-
C.
intendedVehicleClass
Indicates that one entity is designed or specified to be used with, or is appropriate for, a particular class or category of vehicle.
-
D.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
E.
vehicleClassDriven
Indicates that an entity drives or operates a vehicle belonging to a particular vehicle class or category.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.