Triple
T12848833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lübeck |
E307255
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | HL |
E307255
|
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: HL | Statement: [Lübeck, hasVehicleRegistrationCode, HL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HL Context triple: [Lübeck, hasVehicleRegistrationCode, HL]
-
A.
HL
chosen
HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
B.
HEL
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
-
C.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
D.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
E.
HM
HM is the abbreviated designation commonly used for Hungary’s Ministry of Defence.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9701fe684819084582d1b4c809429 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba5059c81908be3b8b371518f41 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.