Triple
T2877731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lübeck |
E56916
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
|
E307255
|
NE FINISHED |
How this triple was built (4 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, vehicleRegistrationCode, HL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HL Context triple: [Lübeck, vehicleRegistrationCode, HL]
-
A.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
B.
HM
HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
-
C.
HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
-
D.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
E.
DH
DH is the commonly used currency symbol representing the Moroccan dirham.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HL Triple: [Lübeck, vehicleRegistrationCode, HL]
Generated description
HL is the vehicle registration code used on license plates for the German city of Lübeck.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HL Target entity description: HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
A.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
B.
HM
HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
-
C.
HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
-
D.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
E.
DH
DH is the commonly used currency symbol representing the Moroccan dirham.
- F. None of above. chosen
Provenance (5 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe007329c8190b0bc1851c7307124 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03158d0ec8190ba9675ece8f62033 |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b033afe0e08190b6fbf0ec786a71eb |
completed | March 10, 2026, 3:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03437b4d081908c02c01a4dd665b1 |
completed | March 10, 2026, 3:09 p.m. |
Created at: March 6, 2026, 10:03 p.m.