Triple
T14199271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesstraße 42 |
E351919
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | B 42 |
E1085068
|
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: B 42 | Statement: [Bundesstraße 42, abbreviation, B 42]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B 42 Context triple: [Bundesstraße 42, abbreviation, B 42]
-
A.
B42
chosen
B42 is a designated section of the German federal highway Bundesstraße 42, an important regional road route in Germany.
-
B.
B-4
B-4 is an early, less advanced Soong-type android and "brother" of Data in the Star Trek universe, portrayed by Brent Spiner.
-
C.
B4
B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
-
D.
B 28
B 28 is a German federal highway (Bundesstraße) that serves as an important east–west route in the state of Baden-Württemberg.
-
E.
B82
B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280aaa1c8190a957dfc2c624e3f6 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:04 a.m.