Triple
T19838072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mau |
E476650
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
UP-54
UP-54 is the regional vehicle registration code assigned to the Mau district in the Indian state of Uttar Pradesh.
|
E1397006
|
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: UP-54 | Statement: [Mau, vehicleRegistrationCode, UP-54]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UP-54 Context triple: [Mau, vehicleRegistrationCode, UP-54]
-
A.
UP-15
UP-15 is the vehicle registration code assigned to motor vehicles registered in Meerut district in the Indian state of Uttar Pradesh.
-
B.
UP-43
UP-43 is the motor vehicle registration code assigned to the Gonda district in the Indian state of Uttar Pradesh.
-
C.
UP-78
UP-78 is the vehicle registration code assigned to motor vehicles registered in Kanpur, Uttar Pradesh, India.
-
D.
UP-81
UP-81 is the regional vehicle registration code assigned to the Khair area in the Indian state of Uttar Pradesh.
-
E.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
- 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: UP-54 Triple: [Mau, vehicleRegistrationCode, UP-54]
Generated description
UP-54 is the regional vehicle registration code assigned to the Mau district in the Indian state of Uttar Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UP-54 Target entity description: UP-54 is the regional vehicle registration code assigned to the Mau district in the Indian state of Uttar Pradesh.
-
A.
UP-15
UP-15 is the vehicle registration code assigned to motor vehicles registered in Meerut district in the Indian state of Uttar Pradesh.
-
B.
UP-43
UP-43 is the motor vehicle registration code assigned to the Gonda district in the Indian state of Uttar Pradesh.
-
C.
UP-78
UP-78 is the vehicle registration code assigned to motor vehicles registered in Kanpur, Uttar Pradesh, India.
-
D.
UP-81
UP-81 is the regional vehicle registration code assigned to the Khair area in the Indian state of Uttar Pradesh.
-
E.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65803bb988190a4e7c0035058feba |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccdd93288190947d532bb4fed089 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cf1c9d7c81908d799c9288aba819 |
completed | May 16, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cf77875481908196a66181efaf25 |
completed | May 16, 2026, 1:59 a.m. |
Created at: April 10, 2026, 1:50 p.m.