Triple
T23135203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treuchtlingen |
E577295
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Graben |
—
|
NE NERFINISHED |
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: Graben | Statement: [Treuchtlingen, hasSubdivision, Graben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graben Context triple: [Treuchtlingen, hasSubdivision, Graben]
-
A.
Graben
Graben is a famous and historic pedestrian street in the center of Vienna, Austria, known for its upscale shops, cafes, and notable Baroque monuments.
-
B.
Graben
chosen
Graben is a municipality in the Augsburg district of Bavaria, Germany, known for its location in the Swabian region near the city of Augsburg.
-
C.
Graben
Graben is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
-
D.
Tiefgraben
Tiefgraben is a municipality in the Austrian state of Upper Austria, known for its scenic lakeside setting near Mondsee.
-
E.
Limagne Graben
Limagne Graben is a major tectonic rift valley in central France, formed during Cenozoic extension and noted for its thick sedimentary fill and associated volcanic activity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8b694c8190b9ead00ea0576d90 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.