Triple
T3688913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bode |
E78295
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Wegeleben |
E307273
|
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: Wegeleben | Statement: [Bode, flowsThrough, Wegeleben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wegeleben Context triple: [Bode, flowsThrough, Wegeleben]
-
A.
Wegeleben
chosen
Wegeleben is a small town in the Harz district of Saxony-Anhalt, Germany, historically noted as the birthplace of high-ranking Nazi official Martin Bormann.
-
B.
Rämistrasse
Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
-
C.
Landstraße
Landstraße is Vienna’s 3rd municipal district, a central urban area known for its mix of historic architecture, embassies, and major transport hubs.
-
D.
Great Road
Great Road (Große Straße) is a historically significant main thoroughfare in Osnabrück, Germany, known for its traditional architecture and central role in the city’s old town.
-
E.
Cesen Route
The Cesen Route is a classic alpine climbing line on K2, known for its relatively direct but still highly demanding ascent on the mountain’s southeastern side.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c5b6488190afb8cc599d633a96 |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.