Triple
T10174464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Witt |
E235814
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Altona |
E785302
|
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: Altona | Statement: [Ernst Witt, placeOfBirth, Altona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altona Context triple: [Ernst Witt, placeOfBirth, Altona]
-
A.
Brunsbüttel
Brunsbüttel is a German port town at the western entrance of the Kiel Canal on the North Sea coast of Schleswig-Holstein.
-
B.
Altona, Holstein
chosen
Altona, Holstein was a historically significant town in the Duchy of Holstein (now part of Hamburg, Germany), known as an important commercial and cultural center under Danish rule.
-
C.
Köpenick
Köpenick is a historic, green district in southeastern Berlin known for its old town, baroque palace on the Dahme River, and extensive forests and lakes.
-
D.
Fuhlsbüttel
Fuhlsbüttel is a district in the northern German city of Hamburg best known for hosting the city’s international airport.
-
E.
Nittendorf
Nittendorf is a municipality in the Upper Palatinate region of Bavaria, Germany, situated west of the city of Regensburg.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3011742b48190bc8b8b6ba03c32b0 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:11 p.m.