Triple
T4180199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinz-Albrecht-Straße area |
E86574
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mitte district |
E353420
|
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: Mitte district | Statement: [Prinz-Albrecht-Straße area, locatedIn, Mitte district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitte district Context triple: [Prinz-Albrecht-Straße area, locatedIn, Mitte district]
-
A.
Mitte district
chosen
Mitte district is a central borough of Berlin known for its historic landmarks, government buildings, and cultural institutions.
-
B.
Truk District
Truk District was a former administrative district of the Trust Territory of the Pacific Islands centered on the Truk (now Chuuk) Lagoon in Micronesia.
-
C.
Bubi District
Bubi District is an administrative district in Matabeleland North Province in western Zimbabwe, known largely for its rural communities and mining activities.
-
D.
Javel district
Javel district is a neighborhood in southwestern Paris known historically for its industrial past and riverside location along the Seine.
-
E.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0302972c819082f6e1938ed417c4 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f89f4481909f95d3ca915bac18 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.