Triple
T21372638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulrik Huber |
E527106
|
entity |
| Predicate | placeOfBurial |
P196
|
FINISHED |
| Object | Franeker |
—
|
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: Franeker | Statement: [Ulrik Huber, placeOfBurial, Franeker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franeker Context triple: [Ulrik Huber, placeOfBurial, Franeker]
-
A.
Franeker
chosen
Franeker is a historic university town in the Dutch province of Friesland, known for its well-preserved medieval center and the famous Eise Eisinga Planetarium.
-
B.
Fairville
Fairville is a residential neighbourhood located on the west side of Saint John, New Brunswick, Canada.
-
C.
Milbury
Milbury is the surname of former NHL player, coach, and television analyst Mike Milbury.
-
D.
Lenola
Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
-
E.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b0d5ec81908da8f38380dbdc7a |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.