Triple
T20642959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Messe AG |
E507276
|
entity |
| Predicate | organizes |
P123
|
FINISHED |
| Object | EuroBLECH |
—
|
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: EuroBLECH | Statement: [Deutsche Messe AG, organizes, EuroBLECH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EuroBLECH Context triple: [Deutsche Messe AG, organizes, EuroBLECH]
-
A.
EuroBLECH
chosen
EuroBLECH is a leading international trade fair for the sheet metal working industry, showcasing machinery, tools, and innovations in metal processing.
-
B.
EuroBLECH sheet metal working fair
EuroBLECH sheet metal working fair is a leading international trade exhibition focused on sheet metal working technology, machinery, and innovations.
-
C.
Lauterbach
Lauterbach is a small town in the German state of Hesse known for its historic old town and traditional half-timbered architecture.
-
D.
Eversberg
Eversberg is a village and district of the town of Meschede in North Rhine-Westphalia, Germany, known for its historic half-timbered houses and scenic Sauerland setting.
-
E.
Engertal
Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
- 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.