Triple
T11724501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tournon-sur-Rhône |
E278725
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Altensteig |
E428264
|
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: Altensteig | Statement: [Tournon-sur-Rhône, twinnedWith, Altensteig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altensteig Context triple: [Tournon-sur-Rhône, twinnedWith, Altensteig]
-
A.
Altensteig
chosen
Altensteig is a small historic town in the Black Forest region of Baden-Württemberg, Germany, known for its medieval old town and picturesque hillside setting.
-
B.
Altenberge
Altenberge is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
-
C.
Wiesensteig
Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
-
D.
Stechelberg
Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
-
E.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83d9fe70819089b9f3585188f96c |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.