Triple
T20562320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwigsburg district |
E504872
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
VAI
VAI is the vehicle registration code used on license plates for the Ludwigsburg district area around Vaihingen an der Enz in Germany.
|
E1438652
|
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: VAI | Statement: [Ludwigsburg district, hasVehicleRegistrationCode, VAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VAI Context triple: [Ludwigsburg district, hasVehicleRegistrationCode, VAI]
-
A.
VAID
VAID is the ICAO airport code for Devi Ahilya Bai Holkar Airport serving Indore, India.
-
B.
VIAM
VIAM is the ICAO airport code for Ambala Air Force Station, a major Indian Air Force base located in Ambala, Haryana, India.
-
C.
VAJA
VAJA is the commonly used acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency.
-
D.
VIAG
VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
-
E.
VIAG
VIAG was a major German industrial and energy conglomerate that later merged into E.ON.
- 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: VAI Triple: [Ludwigsburg district, hasVehicleRegistrationCode, VAI]
Generated description
VAI is the vehicle registration code used on license plates for the Ludwigsburg district area around Vaihingen an der Enz in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VAI Target entity description: VAI is the vehicle registration code used on license plates for the Ludwigsburg district area around Vaihingen an der Enz in Germany.
-
A.
VAID
VAID is the ICAO airport code for Devi Ahilya Bai Holkar Airport serving Indore, India.
-
B.
VIAM
VIAM is the ICAO airport code for Ambala Air Force Station, a major Indian Air Force base located in Ambala, Haryana, India.
-
C.
VAJA
VAJA is the commonly used acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency.
-
D.
VIAG
VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
-
E.
VIAG
VIAG was a major German industrial and energy conglomerate that later merged into E.ON.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79f906c819081163de9649ccb17 |
completed | April 20, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acdac8008190a7a61d46f7041cf4 |
completed | May 16, 2026, 5:43 p.m. |
| NEDg | Description generation | batch_6a08ada4ef648190982235ebe059a9c5 |
completed | May 16, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08aeaf2be88190bac218c7de1544fc |
completed | May 16, 2026, 5:51 p.m. |
Created at: April 16, 2026, 11:39 a.m.