Triple
T20938753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaha PW50 |
E515656
|
entity |
| Predicate | hasProtectiveBodywork |
P132245
|
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: [Yamaha PW50, hasProtectiveBodywork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtectiveBodywork Context triple: [Yamaha PW50, hasProtectiveBodywork, true]
-
A.
hasArmorPlating
chosen
Indicates that one entity is equipped with or covered by protective armor plating in relation to another entity or context.
-
B.
usesArmoredVehicle
Indicates that an entity employs or operates an armored vehicle in performing an action or fulfilling a role.
-
C.
protectsBodyPart
Indicates that one entity serves to shield, guard, or defend a specific body part from harm or damage.
-
D.
providesProtectionIn
Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
-
E.
hasUndercarriageType
Indicates the specific type or configuration of undercarriage that an object (typically a vehicle or machine) possesses.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:50 p.m.