Triple
T20722631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vukovar-Srijem County |
E509355
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ŽU
ŽU is the vehicle registration code used on license plates for vehicles registered in Vukovar-Srijem County in Croatia.
|
E1446633
|
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: ŽU | Statement: [Vukovar-Srijem County, hasVehicleRegistrationCode, ŽU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ŽU Context triple: [Vukovar-Srijem County, hasVehicleRegistrationCode, ŽU]
-
A.
SŽ
SŽ is the Czech national railway infrastructure manager responsible for operating, maintaining, and developing the country’s railway network.
-
B.
Ziu
Ziu is the Old High German name for the Germanic god of war and the sky, cognate with the Norse deity Týr.
-
C.
JU
JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
-
D.
JU
JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
-
E.
JU
JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
- 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: ŽU Triple: [Vukovar-Srijem County, hasVehicleRegistrationCode, ŽU]
Generated description
ŽU is the vehicle registration code used on license plates for vehicles registered in Vukovar-Srijem County in Croatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ŽU Target entity description: ŽU is the vehicle registration code used on license plates for vehicles registered in Vukovar-Srijem County in Croatia.
-
A.
SŽ
SŽ is the Czech national railway infrastructure manager responsible for operating, maintaining, and developing the country’s railway network.
-
B.
Ziu
Ziu is the Old High German name for the Germanic god of war and the sky, cognate with the Norse deity Týr.
-
C.
JU
JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
-
D.
JU
JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
-
E.
JU
JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d6bdcc8190ba42c44159a2c0d5 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e05734d88190b6386afc9e2e2d12 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e101997881909ad7ed5e91cf1ed7 |
completed | May 16, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e1ba6cf08190a43b1d57ef061a72 |
completed | May 16, 2026, 9:29 p.m. |
Created at: April 16, 2026, 12:27 p.m.