Triple
T4483644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alsace Wine Route |
E107183
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Thann |
E246529
|
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: Thann | Statement: [Alsace Wine Route, endPoint, Thann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thann Context triple: [Alsace Wine Route, endPoint, Thann]
-
A.
Thann
chosen
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
B.
Thal
Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
-
C.
Thal
Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
-
D.
Taninges
Taninges is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
E.
Thyez
Thyez is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Bonneville.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52a54c6c8190a7421bea6e3c00f1 |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd679792f48190a19ce4ab91cab3bc |
completed | March 20, 2026, 3:28 p.m. |
Created at: March 20, 2026, 12:58 p.m.