Triple
T17404580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zalaegerszeg |
E423178
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ZK
ZK is the vehicle registration code assigned to motor vehicles registered in the Hungarian city of Zalaegerszeg.
|
E1267044
|
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: [Zalaegerszeg, vehicleRegistrationCode, ZK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZK Context triple: [Zalaegerszeg, vehicleRegistrationCode, ZK]
-
A.
ZK
ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
-
B.
ZKL
ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
-
C.
ZKR
ZKR is the abbreviated name of the Central Commission for the Navigation of the Rhine, an international organization overseeing navigation and related regulations on the Rhine River.
-
D.
ZKF
ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
-
E.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
- 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: [Zalaegerszeg, vehicleRegistrationCode, ZK]
Generated description
ZK is the vehicle registration code assigned to motor vehicles registered in the Hungarian city of Zalaegerszeg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZK Target entity description: ZK is the vehicle registration code assigned to motor vehicles registered in the Hungarian city of Zalaegerszeg.
-
A.
ZK
ZK is the vehicle registration code used for vehicles registered in the city of Zakynthos in Greece.
-
B.
ZKL
ZKL is the vehicle registration code assigned to cars registered in Kołobrzeg, a city in northwestern Poland.
-
C.
ZKR
ZKR is the abbreviated name of the Central Commission for the Navigation of the Rhine, an international organization overseeing navigation and related regulations on the Rhine River.
-
D.
ZKF
ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
-
E.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b068248819088871d79f8a38f30 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7f76c208190b9b8db227507c045 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a8a927fc8190853a276107be3e70 |
completed | May 11, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a903b384819094244a302d48220d |
completed | May 11, 2026, 10:01 a.m. |
Created at: April 10, 2026, 5:45 a.m.