Triple
T35574914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha Benz Prize |
E1028048
|
entity |
| Predicate | locationCountryOfAwarding |
P2729
|
FINISHED |
| Object | Germany |
E1728
|
NE FINISHED |
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: Germany | Statement: [Bertha Benz Prize, locationCountryOfAwarding, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationCountryOfAwarding Context triple: [Bertha Benz Prize, locationCountryOfAwarding, Germany]
-
A.
countryOfAwarding
chosen
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
B.
continentOfAwardingCountry
Indicates the continent on which the country that granted or issued the award is located.
-
C.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
-
D.
regionOfAward
Indicates the geographic or administrative region in which an award is given or recognized.
-
E.
countryOfVenue
Indicates the country in which the referenced venue is geographically located.
- F. None of above.
Provenance (4 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387270205c81909680594e5bab4347 |
completed | June 21, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.