Triple
T13537071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U5 |
E323287
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | Preungesheim |
E1046639
|
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: Preungesheim | Statement: [U5, servesDistrict, Preungesheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preungesheim Context triple: [U5, servesDistrict, Preungesheim]
-
A.
Preungesheim
chosen
Preungesheim is a residential district in the northeast of Frankfurt am Main, Germany, known for its mix of housing estates and local amenities.
-
B.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
C.
Geinsheim
Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
-
D.
Leutesheim
Leutesheim is a village and district of the town of Kehl in the Ortenaukreis region of Baden-Württemberg, Germany, near the Rhine River and the French border.
-
E.
Oggersheim
Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76babfb948190bc028450ddaa0b72 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.