Triple
T5880037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straße der Nationen campus |
E130722
|
entity |
| Predicate | streetIs |
P5943
|
FINISHED |
| Object | historic Straße der Nationen |
—
|
LITERAL 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: historic Straße der Nationen | Statement: [Straße der Nationen campus, streetIs, historic Straße der Nationen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetIs Context triple: [Straße der Nationen campus, streetIs, historic Straße der Nationen]
-
A.
roadName
chosen
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
B.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
D.
betweenStreets
Indicates that one location is situated between two specified streets, typically along a road segment bounded by those streets.
-
E.
streetSectionOf
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
- F. None of above.
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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.