Triple
T19516673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pordenone |
E488294
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
PN
PN is the vehicle registration code used on license plates for vehicles registered in the Province of Pordenone in northeastern Italy.
|
E631202
|
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: PN | Statement: [Province of Pordenone, vehicleRegistrationCode, PN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PN Context triple: [Province of Pordenone, vehicleRegistrationCode, PN]
-
A.
PN
PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
-
B.
PN
PN is the vehicle registration code used on license plates for the town of Paraćin in Serbia.
-
C.
PN
PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
-
D.
PN
PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
-
E.
PN
PN is the commonly used abbreviation for the Nationalist Party, one of Malta’s major political parties.
- 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: PN Triple: [Province of Pordenone, vehicleRegistrationCode, PN]
Generated description
PN is the vehicle registration code used on license plates for vehicles registered in the Province of Pordenone in northeastern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PN Target entity description: PN is the vehicle registration code used on license plates for vehicles registered in the Province of Pordenone in northeastern Italy.
-
A.
PN
chosen
PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
-
B.
PN
PN is the vehicle registration code used on license plates for the town of Paraćin in Serbia.
-
C.
PN
PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
-
D.
PN
PN is the commonly used abbreviation for the Nationalist Party, one of Malta’s major political parties.
-
E.
PN
PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
- F. None of above.
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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359ca7648190804c4d655170fda3 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074727002c8190aa3783c66242a4e4 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747e1f0d08190b69246a4c7fe4143 |
completed | May 15, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0748be762c8190b561a2e5039bca42 |
completed | May 15, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:40 p.m.