Triple
T7251515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Vechta |
E157611
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
VEC
VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
|
E651237
|
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: VEC | Statement: [District of Vechta, vehicleRegistrationCode, VEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEC Context triple: [District of Vechta, vehicleRegistrationCode, VEC]
-
A.
vec
vec is the ISO 639-3 code for the Venetian language, a Romance language spoken primarily in the Veneto region of Italy and surrounding areas.
-
B.
VECC
VECC is the ICAO airport code for Netaji Subhas Chandra Bose International Airport in Kolkata, India.
-
C.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
D.
V
V is a studio album by the American instrumental rock band The Fucking Champs, known for its intricate, metal-influenced guitar work and progressive song structures.
-
E.
V
V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
- 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: VEC Triple: [District of Vechta, vehicleRegistrationCode, VEC]
Generated description
VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEC Target entity description: VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
-
A.
vec
vec is the ISO 639-3 code for the Venetian language, a Romance language spoken primarily in the Veneto region of Italy and surrounding areas.
-
B.
VECC
VECC is the ICAO airport code for Netaji Subhas Chandra Bose International Airport in Kolkata, India.
-
C.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
-
D.
V
V is a studio album by the American instrumental rock band The Fucking Champs, known for its intricate, metal-influenced guitar work and progressive song structures.
-
E.
V
V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea7ae0e48190bd80c91bad1976c6 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a7502081909d2a97a60cc445ae |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d4690adc81909abbfb7a756f453d |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d517a7108190893878cbef7d1a3a |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:56 p.m.