Triple
T29562784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porsche Cars North America headquarters and experience center |
E750080
|
entity |
| Predicate | hasTestTrackLength |
P134623
|
FINISHED |
| Object | approximately 1.6 miles |
—
|
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: approximately 1.6 miles | Statement: [Porsche Cars North America headquarters and experience center, hasTestTrackLength, approximately 1.6 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTestTrackLength Context triple: [Porsche Cars North America headquarters and experience center, hasTestTrackLength, approximately 1.6 miles]
-
A.
usesTestTrack
Indicates that one entity makes use of a specific test track for testing, evaluation, or validation activities.
-
B.
lapLengthOfTrack
chosen
Indicates the distance or length of a single lap around a track.
-
C.
isLongTrack
Indicates that something (such as a route, path, or recording) has a relatively great length or duration compared to typical or standard examples of its kind.
-
D.
typicalTrackLengthRange
Indicates the usual minimum and maximum lengths that a track associated with something tends to fall between.
-
E.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 28, 2026, 5:21 p.m.