Triple
T6323580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urbino |
E141803
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
PU
PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
|
E584271
|
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: PU | Statement: [Urbino, vehicleRegistrationCode, PU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PU Context triple: [Urbino, vehicleRegistrationCode, PU]
-
A.
PU
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
-
B.
PN
PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
-
C.
PUP
PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
-
D.
PAL
PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
-
E.
PW
PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
- 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: PU Triple: [Urbino, vehicleRegistrationCode, PU]
Generated description
PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PU Target entity description: PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
-
A.
PU
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
-
B.
PN
PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
-
C.
PUP
PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
-
D.
PAL
PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
-
E.
PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e38f1c81909c7e90b520602bae |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e490472c8190b4ecc935bf03d01e |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e6347c108190bfdbad7c18880a37 |
completed | March 27, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e6bb552c8190a092495b5ecb5b57 |
completed | March 27, 2026, 2:08 a.m. |
Created at: March 22, 2026, 4:29 p.m.