Triple
T14415550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pully |
E357440
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Lutry |
E261420
|
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: Lutry | Statement: [Pully, hasNeighboringMunicipality, Lutry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutry Context triple: [Pully, hasNeighboringMunicipality, Lutry]
-
A.
Lutry
chosen
Lutry is a picturesque Swiss village on the shores of Lake Geneva, known for its historic old town and its role as a gateway to the UNESCO-listed Lavaux terraced vineyards.
-
B.
Lurtigen
Lurtigen is a small former municipality in the canton of Fribourg in western Switzerland.
-
C.
Prittitz
Prittitz is a small municipality in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan area.
-
D.
Livarot
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
-
E.
Lanaken
Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.