Triple
T16030372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakynthos (city) |
E388830
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ZK
ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
|
E1188872
|
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: ZK | Statement: [Zakynthos (city), vehicleRegistrationCode, ZK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZK Context triple: [Zakynthos (city), vehicleRegistrationCode, ZK]
-
A.
ZKL
ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
-
B.
ZKF
ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
-
C.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
-
D.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
E.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
- 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: ZK Triple: [Zakynthos (city), vehicleRegistrationCode, ZK]
Generated description
ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZK Target entity description: ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
-
A.
ZKL
ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
-
B.
ZKF
ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
-
C.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
-
D.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
E.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832b0f308190a23edfaf55f3ca25 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf35ae808190aeb154a273c32a70 |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd0384804819080f63b86d5114950 |
completed | May 10, 2026, 12:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd09e128c819081e92a479a4a24f9 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.