Triple
T13319918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOIC-8 |
E317286
|
entity |
| Predicate | hasWideBodyVariant |
P109508
|
FINISHED |
| Object | 5.3 mm SOIC-8 |
—
|
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: 5.3 mm SOIC-8 | Statement: [SOIC-8, hasWideBodyVariant, 5.3 mm SOIC-8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWideBodyVariant Context triple: [SOIC-8, hasWideBodyVariant, 5.3 mm SOIC-8]
-
A.
supportsWideBodyAircraft
Indicates that an entity (such as an airport, runway, or gate) is capable of accommodating and handling wide-body aircraft operations.
-
B.
supportsWheelbaseVariants
Indicates that one entity is compatible with or designed to accommodate multiple wheelbase length variants of another entity.
-
C.
usesCarWidth
Indicates that one entity determines, measures, or constrains something based on the width of a car.
-
D.
wheelbaseVariantOf
Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
-
E.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.