Triple
T21659981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Guebwiller |
E534568
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Linthal |
E1487762
|
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: Linthal | Statement: [canton of Guebwiller, contains, Linthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linthal Context triple: [canton of Guebwiller, contains, Linthal]
-
A.
Linthal
chosen
Linthal is a small commune in northeastern France’s Grand Est region, situated in the Haut-Rhin department within the historical area of Alsace.
-
B.
Balsthal
Balsthal is a Swiss municipality in the canton of Solothurn, known for its industrial history and location in the Jura Mountains.
-
C.
Torbanlea
Torbanlea is a small rural town in Queensland, Australia, known historically for coal mining and situated within the Fraser Coast Region.
-
D.
Thornsett
Thornsett is a small rural settlement located within the High Peak area of Derbyshire in England.
-
E.
Sandarne
Sandarne is a small locality in east-central Sweden, situated on the coast within Gävleborg County.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c06844c81909b9c91e02fa4e6e1 |
completed | April 27, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159c33788190bf71df313526b663 |
completed | May 17, 2026, 7:23 p.m. |
Created at: April 16, 2026, 6:36 p.m.