Triple
T18670666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gland |
E456465
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Luins |
—
|
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: Luins | Statement: [Gland, hasNeighbouringMunicipality, Luins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luins Context triple: [Gland, hasNeighbouringMunicipality, Luins]
-
A.
Luins
chosen
Luins is a small wine-producing municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic location near Lake Geneva.
-
B.
Ruit
Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
-
C.
Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
-
D.
Lucca
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
E.
Lerse
Lerse is a supporting character in Johann Wolfgang von Goethe’s play "Götz von Berlichingen," known as a loyal and brave follower of the titular knight.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b1140c81908002c27a33c03ae2 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.