Triple
T17705179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarkett Group |
E441411
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Desso |
—
|
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: Desso | Statement: [Tarkett Group, hasBrand, Desso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desso Context triple: [Tarkett Group, hasBrand, Desso]
-
A.
Desso
chosen
Desso is a Dutch company known for manufacturing high-quality carpets and artificial turf systems for commercial, residential, and sports applications.
-
B.
Dosso
Dosso is a key town in southwestern Niger that serves as an important regional and transportation hub.
-
C.
Dunan
Dunan is an alternative name for Yonaguni, a remote Japanese island in the Yaeyama archipelago known as the country’s westernmost point.
-
D.
Burlata
Burlata is a small municipality in the autonomous community of Navarre in northern Spain, situated just east of the regional capital Pamplona.
-
E.
Dosse
The Dosse is a river in northeastern Germany that flows through Brandenburg and Saxony-Anhalt before joining the Havel.
- 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.