Triple
T20642985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Messe AG |
E507276
|
entity |
| Predicate | hasNotableEvent |
P259
|
FINISHED |
| Object | Domotex |
—
|
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: Domotex | Statement: [Deutsche Messe AG, hasNotableEvent, Domotex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domotex Context triple: [Deutsche Messe AG, hasNotableEvent, Domotex]
-
A.
Domotex
chosen
Domotex is a leading international trade fair focused on carpets and floor coverings, held annually in Germany.
-
B.
Wedeco
Wedeco is a water treatment brand known for its ultraviolet (UV) disinfection and ozone oxidation technologies used in municipal and industrial applications.
-
C.
Zimmatic
Zimmatic is a leading agricultural irrigation equipment brand known for its center pivot and lateral move systems used to efficiently water large-scale crops.
-
D.
Tecnotex
Tecnotex is a Cuban state-owned company operating under the military-run conglomerate GAESA, likely involved in managing commercial or industrial activities linked to the armed forces.
-
E.
Logatec
Logatec is a town and municipality in western Slovenia known for its forests, karst landscape, and position as a transport hub between Ljubljana and the Slovenian coast.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.