Triple
T36318868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pocono Raceway |
E894274
|
entity |
| Predicate | hasLayoutShape |
P121306
|
FINISHED |
| Object | triangular |
—
|
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: triangular | Statement: [Pocono Raceway, hasLayoutShape, triangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLayoutShape Context triple: [Pocono Raceway, hasLayoutShape, triangular]
-
A.
hasLayout
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
B.
hasLayoutElement
Indicates that one entity includes, contains, or is associated with a specific layout element as part of its structural or visual arrangement.
-
C.
hasStandardLayout
Indicates that an entity follows a predefined or commonly accepted arrangement or structure.
-
D.
layoutShape
chosen
Indicates a spatial or structural arrangement relationship where one entity defines or influences the geometric shape or configuration of another.
-
E.
hasShapingType
Indicates a relationship where an entity is associated with the specific type or method by which it is formed, molded, or shaped.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.