Triple
T1929532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLE |
E40910
|
entity |
| Predicate | positionRelativeToHigherTrims |
P30257
|
FINISHED |
| Object | below SLT trim |
—
|
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: below SLT trim | Statement: [SLE, positionRelativeToHigherTrims, below SLT trim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToHigherTrims Context triple: [SLE, positionRelativeToHigherTrims, below SLT trim]
-
A.
trimLevel
Indicates the specific configuration or package level of features or options applied to an item, typically distinguishing variants within the same base model.
-
B.
positionInProductLine
chosen
Indicates the specific place or order an item occupies within a defined product line or series.
-
C.
positionOnTrident
Indicates that one entity occupies a specific location or slot on a trident-like structure or configuration.
-
D.
seatingPosition
Indicates the relative location or arrangement of an entity’s seat with respect to other seats or a reference point in a seating layout.
-
E.
shaftHeight
Indicates the vertical extent or length of a shaft from its base to its top.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb266dcb4819090be83556615d0db |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.