Triple
T21007585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grödig |
E517452
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Grödig (village) |
E517452
|
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: Grödig (village) | Statement: [Grödig, hasSubdivision, Grödig (village)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grödig (village) Context triple: [Grödig, hasSubdivision, Grödig (village)]
-
A.
Grödig
chosen
Grödig is a municipality in the Austrian state of Salzburg, located just south of the city of Salzburg near the Untersberg mountain.
-
B.
Grödinge
Grödinge is a rural locality in eastern Sweden known for its countryside landscapes and proximity to the Stockholm metropolitan area.
-
C.
Villnachern
Villnachern is a Swiss municipality in the canton of Aargau, known for its rural character and location near the Aare River.
-
D.
Eugendorf
Eugendorf is a market town in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and its location in the scenic Salzkammergut region.
-
E.
Glattfelden
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3cc8648190b1a419ef734a69e6 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b5c418c81908f54334092d5759a |
completed | May 17, 2026, 3:51 a.m. |
Created at: April 16, 2026, 1:53 p.m.