Triple
T12454447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S1 line |
E297619
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Dietzenbach-Steinberg |
E709333
|
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: Dietzenbach-Steinberg | Statement: [S1 line, passesThrough, Dietzenbach-Steinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietzenbach-Steinberg Context triple: [S1 line, passesThrough, Dietzenbach-Steinberg]
-
A.
Dietzen
Dietzen is a surname most notably associated with American actor Brian Dietzen, known for his role as Jimmy Palmer on the television series "NCIS."
-
B.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
C.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
-
D.
Rehberg
Rehberg is a district of the Austrian city Krems an der Donau, known for its historic character and location in the Wachau cultural landscape.
-
E.
Braunshardt
chosen
Braunshardt is a district of the town of Weiterstadt 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.