Triple
T18254167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continental AG |
E437177
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Gislaved |
—
|
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: Gislaved | Statement: [Continental AG, hasBrand, Gislaved]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gislaved Context triple: [Continental AG, hasBrand, Gislaved]
-
A.
Gislaved
chosen
Gislaved is a tire brand known for producing reliable winter and all-season tires, particularly popular in Northern and Central Europe.
-
B.
Svalöv
Svalöv is a small locality and municipality in Skåne County in southern Sweden, known for its rural landscape and agricultural surroundings.
-
C.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
D.
Götene
Götene is a small locality and municipality in western Sweden known for its rural landscape and proximity to the historic Kinnekulle plateau by Lake Vänern.
-
E.
Tingsryd
Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd82f81c81909ad4455954bd8caa |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.