Triple
T15309433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U7 |
E365989
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Rudow |
E410414
|
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: Rudow | Statement: [U7, terminus, Rudow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudow Context triple: [U7, terminus, Rudow]
-
A.
Rudow
chosen
Rudow is a district in the southeastern part of Berlin, Germany, known for its residential character and connection to the city's U-Bahn network.
-
B.
Ruda
Ruda is the former name of the global sportswear and athletic brand now known as Puma.
-
C.
Ruda
Ruda is a river in southern Poland that flows through the Silesian region, including the city of Rybnik.
-
D.
Raudten
Raudten is a historical town in Silesia, now known as Rudna in modern-day Poland.
-
E.
Ruddy
Ruddy is a surname of Irish origin borne by various notable individuals across fields such as media, sports, and politics.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a20c1881909b387aed6f532c3d |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.