Triple
T15105754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas of Cusa |
E360783
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Kues |
E1071893
|
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: Kues | Statement: [Nicholas of Cusa, birthPlace, Kues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kues Context triple: [Nicholas of Cusa, birthPlace, Kues]
-
A.
Kues
chosen
Kues is a district of the town Bernkastel-Kues in Germany, known for its historic architecture and location along the Moselle River.
-
B.
Kuku
Kuku are an ethnic group native to South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related language.
-
C.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
-
D.
Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
-
E.
Kysset
Kysset is the original Norwegian title of Edvard Munch’s painting "The Kiss," a symbolist work depicting an intimate, merging embrace between two lovers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00588f35481909674f161bf0f3918 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae28e99881908156909e553c2538 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:05 a.m.