Triple
T20555730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympiaberg |
E504714
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Milbertshofen-Am Hart |
—
|
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: Milbertshofen-Am Hart | Statement: [Olympiaberg, locatedInDistrict, Milbertshofen-Am Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milbertshofen-Am Hart Context triple: [Olympiaberg, locatedInDistrict, Milbertshofen-Am Hart]
-
A.
Milbertshofen-Am Hart
chosen
Milbertshofen-Am Hart is a northern borough of Munich, Germany, known for its residential areas, industrial sites, and proximity to the Olympic Park and BMW headquarters.
-
B.
Walkertshofen
Walkertshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Ruppertshofen
Ruppertshofen is a small municipality in the German state of Baden-Württemberg, situated within the rural district of Ostalbkreis.
-
D.
Gerhardshofen
Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
-
E.
Schwabniederhofen
Schwabniederhofen is a small municipality located in the Weilheim-Schongau district of Bavaria in southern Germany.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dd02588190abddfcb868259a38 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.