Triple
T8055528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus test track |
E187988
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Lotus Cars |
E187987
|
NE 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: Lotus Cars | Statement: [Lotus test track, operator, Lotus Cars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotus Cars Context triple: [Lotus test track, operator, Lotus Cars]
-
A.
Lotus Cars
chosen
Lotus Cars is a British sports car manufacturer renowned for its lightweight, high-performance vehicles and engineering innovation.
-
B.
Lotus
The lotus is a sacred aquatic flower widely revered in Indian culture and religion, symbolizing purity, beauty, and spiritual enlightenment.
-
C.
Lotus
Lotus is a pioneering software company best known for its Lotus 1-2-3 spreadsheet program, which was a dominant application in the early days of personal computing.
-
D.
Aston Martin
Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
-
E.
McLaren Automotive
McLaren Automotive is a British high-performance sports car and supercar manufacturer renowned for its Formula 1–derived engineering and cutting-edge design.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa16804819094926ff2ff053c80 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93cc0cec8190834e4c24f6d03a99 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:25 p.m.