Triple
T6583340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seelter Buund |
E157356
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Seelter Buund |
E157356
|
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: Seelter Buund | Statement: [Seelter Buund, name, Seelter Buund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seelter Buund Context triple: [Seelter Buund, name, Seelter Buund]
-
A.
Seelter Buund
chosen
Seelter Buund is an organization dedicated to preserving and promoting the Saterland Frisian language and culture.
-
B.
Bintang Beer
Bintang Beer is a popular Indonesian pale lager, often associated with the country’s major beer brand and widely consumed by locals and tourists alike.
-
C.
Bulmer
Bulmer is a small village and civil parish in North Yorkshire, England, known for its rural character and historic setting within the Ryedale district.
-
D.
Kruge
Kruge is a ruthless Klingon commander and primary antagonist in the film "Star Trek III: The Search for Spock."
-
E.
Grimbergen
Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae938184819088234aad9cc997e1 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.