Triple
T19773182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gampel |
E474937
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Leuk |
—
|
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: Leuk | Statement: [Gampel, locatedNear, Leuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leuk Context triple: [Gampel, locatedNear, Leuk]
-
A.
Leuk
chosen
Leuk is a historic municipality in the canton of Valais in southwestern Switzerland, known for its medieval architecture, thermal baths, and scenic location in the Rhône valley.
-
B.
Leukas
Leukas is a Greek island in the Ionian Sea, historically significant as a strategic maritime possession contested by various regional powers.
-
C.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
-
D.
Bleik
Bleik is a small coastal village on the island of Andøya in northern Norway, known for its long sandy beach and proximity to rich seabird colonies.
-
E.
LEVEN
LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535e450c8190a2628245ae0d0bd3 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.