Triple
T16407924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Nauheim |
E398483
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | FB |
E1119895
|
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: FB | Statement: [Bad Nauheim, vehicleRegistrationCode, FB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FB Context triple: [Bad Nauheim, vehicleRegistrationCode, FB]
-
A.
FB
FB is the common abbreviation for Fenerbahçe SK, one of Turkey’s most prominent multi-sport clubs best known for its successful football team based in Istanbul.
-
B.
FB
chosen
FB is the vehicle registration code used on license plates for the district of Friedberg in the German state of Hesse.
-
C.
FB
FB is the internal chassis code used by Mazda to designate the first-generation RX-7 sports car.
-
D.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
E.
Facebook MPK21
Facebook MPK21 is a large, Frank Gehry–designed office building on Meta’s Menlo Park campus that serves as one of the company’s primary headquarters spaces.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.