Triple
T10378572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansbach |
E244572
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Fränkische Rezat |
E115534
|
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: Fränkische Rezat | Statement: [Ansbach, locatedOnRiver, Fränkische Rezat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fränkische Rezat Context triple: [Ansbach, locatedOnRiver, Fränkische Rezat]
-
A.
Fränkische Rezat
chosen
The Fränkische Rezat is a river in the German state of Bavaria that flows through Franconia and joins with the Schwäbische Rezat to form the Rednitz.
-
B.
Schwäbische Rezat
The Schwäbische Rezat is a river in the German state of Bavaria that flows through the Franconian region, including the town of Weißenburg in Bayern.
-
C.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
D.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
E.
Dombach
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98fead88190ace49f34b8a27c25 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7957e52108190a8d262b30a7d2780 |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:03 p.m.