Triple
T9398264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Cremona |
E226400
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | CR |
E551201
|
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: CR | Statement: [Province of Cremona, vehicleRegistrationCode, CR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CR Context triple: [Province of Cremona, vehicleRegistrationCode, CR]
-
A.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
B.
CR
CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
-
C.
CR
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
-
D.
CR
chosen
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
-
E.
CRE
CRE is the French Energy Regulatory Commission, the independent authority overseeing France’s electricity and gas markets.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51541020819097da2eb60be73760 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10121f53c8190b4fe3ce0fe04aecc |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.