Triple
T14265792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BVG |
E353639
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | BVG Jelbi |
E353639
|
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: BVG Jelbi | Statement: [BVG, hasBrand, BVG Jelbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BVG Jelbi Context triple: [BVG, hasBrand, BVG Jelbi]
-
A.
BVG
chosen
BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
-
B.
Bjug
Bjug is a masculine given name of Scandinavian origin, most notably borne by Norwegian-American Lutheran educator and college founder Bjug Harstad.
-
C.
Bibinje
Bibinje is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, located just southeast of the city of Zadar.
-
D.
VIBK
VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
-
E.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326551b08190ae8fe220a6422339 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.