Triple
T9820405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Eichstätt |
E238514
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | district of Roth |
E327828
|
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: district of Roth | Statement: [district of Eichstätt, borderedBy, district of Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: district of Roth Context triple: [district of Eichstätt, borderedBy, district of Roth]
-
A.
district of Roth
chosen
The district of Roth is a rural administrative district in Middle Franconia, Bavaria, Germany, known for its mix of small towns, forests, and river landscapes.
-
B.
Roth (town)
Roth is a small town in Bavaria, Germany, known for its historic center and proximity to Nuremberg.
-
C.
Roth district
Roth district is an administrative district (Landkreis) in the state of Bavaria, Germany, known for its mix of small towns, rural landscapes, and proximity to the Nuremberg metropolitan area.
-
D.
Roth bei Nürnberg (Austria)
Roth bei Nürnberg (Austria) is an Austrian town that is officially twinned with the German town of Roth in Bavaria.
-
E.
Seitzenhahn district
Seitzenhahn district is a local administrative and residential area within the town of Taunusstein in the Rheingau-Taunus region 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb313134081908eb0ba3a22b22e2b |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc78ffcc8190bb26a224350376dc |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.