Triple
T20642989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Messe AG |
E507276
|
entity |
| Predicate | hasNotableEvent |
P259
|
FINISHED |
| Object | Interschutz |
—
|
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: Interschutz | Statement: [Deutsche Messe AG, hasNotableEvent, Interschutz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interschutz Context triple: [Deutsche Messe AG, hasNotableEvent, Interschutz]
-
A.
Interschutz
chosen
Interschutz is a major international trade fair focused on firefighting, rescue services, civil protection, and safety/security technologies.
-
B.
Steyer
Steyer is a Polish surname most notably borne by Włodzimierz Steyer, a Polish naval officer and admiral.
-
C.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
-
D.
Arbizon
Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
-
E.
Ilster
The Ilster is a small river in Lower Saxony, Germany, known as one of the headwater streams contributing to the Örtze river system.
- 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.