Triple
T22435497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ortsbezirk 6 Frankfurt am Main |
E554610
|
entity |
| Predicate | hasLocalCouncil |
P3379
|
FINISHED |
| Object | Ortsbeirat 6 |
—
|
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: Ortsbeirat 6 | Statement: [Ortsbezirk 6 Frankfurt am Main, hasLocalCouncil, Ortsbeirat 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortsbeirat 6 Context triple: [Ortsbezirk 6 Frankfurt am Main, hasLocalCouncil, Ortsbeirat 6]
-
A.
Ortsbeirat 6
chosen
Ortsbeirat 6 is the local advisory council representing residents and addressing district-level issues within Frankfurt am Main’s Ortsbezirk 6.
-
B.
Ort
Ort is a surname of likely Germanic origin borne by individuals such as Josephine Rollins Ort.
-
C.
Ortsbezirk Nord-Ost
Ortsbezirk Nord-Ost is an administrative borough of Frankfurt am Main, Germany, encompassing several northeastern districts of the city.
-
D.
Orte
Orte is a historic town in the Lazio region of central Italy, known as an important transport hub and for its medieval hilltop old town overlooking the Tiber River.
-
E.
Ortsteil Mitte
Ortsteil Mitte is the central district of Berlin, Germany, known for its historic core, major government buildings, and many of the city’s most famous landmarks.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adda0e48190825a5b705ae52d5b |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.