Triple
T4424263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continental AG |
E95172
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | General Tire |
E148507
|
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: General Tire | Statement: [Continental AG, brand, General Tire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Tire Context triple: [Continental AG, brand, General Tire]
-
A.
General Tire
chosen
General Tire is a prominent American tire manufacturing company historically headquartered in Akron, Ohio, once a major center of the rubber and tire industry.
-
B.
Goodyear Tire & Rubber Company
Goodyear Tire & Rubber Company is a major American multinational manufacturer of tires and rubber products, best known for supplying automotive tires worldwide and for its iconic Goodyear Blimp.
-
C.
Bridgestone
Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
-
D.
Michelin
Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
-
E.
B.F. Goodrich Company
B.F. Goodrich Company was a prominent American tire and rubber manufacturer that became one of the leading industrial firms of the 20th century before transitioning into aerospace and specialty products.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.