Triple
T12385523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erlangen-Höchstadt |
E295851
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Aisch |
E97817
|
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: Aisch | Statement: [Erlangen-Höchstadt, locatedOnRiver, Aisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aisch Context triple: [Erlangen-Höchstadt, locatedOnRiver, Aisch]
-
A.
Aisch
chosen
The Aisch is a river in the German state of Bavaria that flows through the region of Middle Franconia and is known for its scenic valleys and traditional carp-farming areas.
-
B.
Aris
Aris is a Greek professional football club based in Thessaloniki, known for its passionate fan base and long history in domestic competitions.
-
C.
Aegiali
Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
-
D.
Aytos
Aytos is a small town in southeastern Bulgaria known as an administrative and economic center within Burgas Province.
-
E.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.