Triple
T1092099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biel/Bienne |
E24186
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | BE |
E2720
|
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: BE | Statement: [Biel/Bienne, vehicleRegistrationCode, BE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BE Context triple: [Biel/Bienne, vehicleRegistrationCode, BE]
-
A.
BE
chosen
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
-
B.
Be
"Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
-
C.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
D.
BER
BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
-
E.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b982018481908b222df095e318c0 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2a20b48190b3a550f6e5ee13e1 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.