Triple
T6620197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pregel River |
E149653
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Pregel |
E149653
|
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: Pregel | Statement: [Pregel River, historicalName, Pregel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pregel Context triple: [Pregel River, historicalName, Pregel]
-
A.
Pregel River
chosen
The Pregel River is a waterway in the Kaliningrad region of Russia (historically East Prussia) that flows through the former city of Königsberg before emptying into the Baltic Sea.
-
B.
Nogat
Nogat is a river in northern Poland that branches off from the Vistula and flows into the Baltic Sea near the Bay of Gdańsk.
-
C.
Bory
Bory is a Hungarian surname most notably associated with Jenő Bory, a sculptor, architect, and creator of the famous Bory Castle in Székesfehérvár, Hungary.
-
D.
Rissne
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
-
E.
Peine
Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe2bcfc8190a3224c688443edc9 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.