Triple
T16268683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lot Valley |
E394939
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Luzech |
E492824
|
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: Luzech | Statement: [Lot Valley, contains, Luzech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luzech Context triple: [Lot Valley, contains, Luzech]
-
A.
Luzech
chosen
Luzech is a commune in southwestern France known for its scenic location on a tight meander of the Lot River and its surrounding vineyards and historic sites.
-
B.
Zernez
Zernez is a Swiss village in the Lower Engadine region of the canton of Graubünden, known as a gateway to the Swiss National Park and a base for alpine outdoor activities.
-
C.
Sigriswil
Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
-
D.
Glarus
Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
-
E.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245ca5c708190a1e98ab37740c032 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fb88488190a2979c75fba67b9d |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.