Triple
T20240122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blindheim |
E498260
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Donauwörth |
—
|
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: Donauwörth | Statement: [Blindheim, hasNearbyCity, Donauwörth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donauwörth Context triple: [Blindheim, hasNearbyCity, Donauwörth]
-
A.
Donauwörth
chosen
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
-
B.
Wörth
Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
-
C.
Wörth an der Donau
Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
-
D.
Schwarzach
Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
-
E.
Schwarzach
Schwarzach is a municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting in the Bavarian Forest region.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716dd0b081909d4063150cdc0c02 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.