Triple
T19992401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marktbreit |
E494094
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | KT |
—
|
NE NERFINISHED |
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: KT | Statement: [Marktbreit, vehicleRegistrationCode, KT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KT Context triple: [Marktbreit, vehicleRegistrationCode, KT]
-
A.
KT
KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
-
B.
KT
KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
-
C.
KT
chosen
KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
-
D.
KT
KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
-
E.
TK
TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.