Triple
T10150978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biezelinge |
E232636
|
entity |
| Predicate | adjacentSettlement |
P3883
|
FINISHED |
| Object | Kapelle |
E72496
|
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: Kapelle | Statement: [Biezelinge, adjacentSettlement, Kapelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapelle Context triple: [Biezelinge, adjacentSettlement, Kapelle]
-
A.
Kapelle
chosen
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
B.
Kappeln
Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
-
C.
Kaplice
Kaplice is a small town in the Český Krumlov District of the South Bohemian Region of the Czech Republic, known for its historic center and proximity to the Bohemian Forest and the Austrian border.
-
D.
Agnietenkapel
Agnietenkapel is a historic former chapel in Amsterdam now used primarily for academic and cultural events, notably associated with the University of Amsterdam.
-
E.
Tellskapelle
Tellskapelle is a small lakeside chapel in Switzerland commemorating the legendary folk hero William Tell and his association with Lake Lucerne.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec0584a48190b65daa8370555c27 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e640d1e0819094d30556ccb958b0 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:08 p.m.