Triple
T34949800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 90 Mile Straight |
E1007957
|
entity |
| Predicate | curveCount |
P51537
|
FINISHED |
| Object | zero |
—
|
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: zero | Statement: [90 Mile Straight, curveCount, zero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curveCount Context triple: [90 Mile Straight, curveCount, zero]
-
A.
numberOfCurves
chosen
Indicates the relationship that specifies how many distinct curves are associated with or contained in a given entity.
-
B.
degreeOfCurvesMentioned
Indicates that the specific degrees (or sharpness) of curves are explicitly referenced or discussed.
-
C.
curveOrder
Indicates the specific sequence or ranking assigned to curves within a set or system.
-
D.
curveName
Indicates that a specific curve is identified or labeled by a given name.
-
E.
numberOfSingularPoints
Indicates the count of distinct singular (non-regular) points associated with a given mathematical object or structure.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782ccb1ec8190a15e00c9e678e5da |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.