Triple
T20046695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groß-Gerau district |
E497576
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kelsterbach |
—
|
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: Kelsterbach | Statement: [Groß-Gerau district, contains, Kelsterbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelsterbach Context triple: [Groß-Gerau district, contains, Kelsterbach]
-
A.
Kelsterbach
chosen
Kelsterbach is a town in the German state of Hesse, located near Frankfurt am Main and close to Frankfurt Airport along the Main River.
-
B.
Kastelruth
Kastelruth is a picturesque municipality in South Tyrol, northern Italy, known for its traditional Alpine character and proximity to the Dolomites.
-
C.
Fürstenried
Fürstenried is a residential district in the southwest of Munich, Germany, known for its post-war housing estates and proximity to green spaces and the Fürstenried Palace.
-
D.
Blankenheim
Blankenheim is a municipality in western Germany, known for its historic town center and location in the Eifel region of North Rhine-Westphalia.
-
E.
Oberwiesenfeld
Oberwiesenfeld is a district and former airfield area in Munich, Germany, known for hosting major sports and Olympic facilities.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632b2de48190abe2b277d89eb695 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.