Triple
T2082495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Track |
E45273
|
entity |
| Predicate | 2012RefurbishmentFeatures |
P8964
|
FINISHED |
| Object | interactive car design studio in queue |
—
|
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: interactive car design studio in queue | Statement: [Test Track, 2012RefurbishmentFeatures, interactive car design studio in queue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2012RefurbishmentFeatures Context triple: [Test Track, 2012RefurbishmentFeatures, interactive car design studio in queue]
-
A.
renovationFeature
chosen
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
B.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
C.
featuresReimaginedVersionOf
Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
-
D.
renovatedFrom
Indicates that one entity has been updated, improved, or restored by modifying or reworking an earlier version represented by another entity.
-
E.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5097ac8190a723a8af2982238c |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.