Triple
T5749964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cremona |
E126825
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
CR
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
|
E551201
|
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: CR | Statement: [Cremona, vehicleRegistrationCode, CR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CR Context triple: [Cremona, vehicleRegistrationCode, CR]
-
A.
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.
-
B.
CR
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
-
C.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
D.
CCR
CCR is a leading academic journal published by the ACM SIGCOMM community that focuses on research and developments in computer networking and communication systems.
-
E.
CCR
CCR is an American rock band known for its roots rock sound and hit songs like "Bad Moon Rising" and "Fortunate Son."
- 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: CR Triple: [Cremona, vehicleRegistrationCode, CR]
Generated description
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CR Target entity description: CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
-
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.
CCR
CCR is a leading academic journal published by the ACM SIGCOMM community that focuses on research and developments in computer networking and communication systems.
-
E.
CCR
CCR is an American rock band known for its roots rock sound and hit songs like "Bad Moon Rising" and "Fortunate Son."
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288870fc819080e883c9d589359b |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a167f2508190a8dd507f237e771b |
completed | March 23, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69c0a2463cb08190aa5976ebd62c30d6 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2afcef88190a77c8089a1b85393 |
completed | March 23, 2026, 2:17 a.m. |
Created at: March 22, 2026, 3:48 p.m.