Triple
T17705178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarkett Group |
E441411
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Tarkett |
—
|
NE NERFINISHED |
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: Tarkett | Statement: [Tarkett Group, hasBrand, Tarkett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarkett Context triple: [Tarkett Group, hasBrand, Tarkett]
-
A.
Tarkett
chosen
Tarkett is a global flooring and sports surface manufacturer known for its wide range of resilient, carpet, wood, and vinyl solutions for commercial and residential markets.
-
B.
Tarko-Sale
Tarko-Sale is a small town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for natural gas production in the Arctic.
-
C.
Teuva
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
-
D.
Tekotte
Tekotte is a surname most notably associated with American former professional baseball outfielder Blake Tekotte.
-
E.
Etsaut
Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47297359481909629c79220e58245 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.