Triple
T15554494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pavia |
E370832
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | PV |
E1163928
|
NE FINISHED |
How this triple was built (2 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: PV | Statement: [Province of Pavia, vehicleRegistrationCode, PV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PV Context triple: [Province of Pavia, vehicleRegistrationCode, PV]
-
A.
PV
PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
-
B.
PV
chosen
PV is the vehicle registration code used on license plates for the Italian province of Pavia.
-
C.
PJ
PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
-
D.
PJ
PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
-
E.
PJ
PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c3e67c881909a9fa1e483a364be |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:09 a.m.