Triple
T11964692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cutlass S |
E284761
|
entity |
| Predicate | positionRelativeToPerformanceModel |
P87608
|
FINISHED |
| Object | below 442 |
—
|
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 442 | Statement: [Cutlass S, positionRelativeToPerformanceModel, below 442]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToPerformanceModel Context triple: [Cutlass S, positionRelativeToPerformanceModel, below 442]
-
A.
positionInPerformance
Indicates the specific ordering or placement of an entity within a performance or sequence of performed elements.
-
B.
positionBased
chosen
Indicates a relationship determined by the relative or absolute position of entities, where the connection depends on where they are located rather than on their intrinsic properties.
-
C.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another entity.
-
D.
positionCoached
Indicates that one entity served as a coach for another entity in a specific position or role.
-
E.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.