Triple
T13049562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Macerata |
E327414
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
MC
MC is the vehicle registration code used on license plates for vehicles registered in the Province of Macerata in Italy.
|
E743449
|
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: MC | Statement: [Province of Macerata, vehicleRegistrationCode, MC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MC Context triple: [Province of Macerata, vehicleRegistrationCode, MC]
-
A.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
-
B.
MC
MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
-
C.
MC
MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
-
D.
MC
MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
-
E.
MC
MC is a classic 40-player World of Warcraft raid instance located in Blackrock Mountain, known for its fiery theme and iconic boss Ragnaros the Firelord.
- 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: MC Triple: [Province of Macerata, vehicleRegistrationCode, MC]
Generated description
MC is the vehicle registration code used on license plates for vehicles registered in the Province of Macerata in Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MC Target entity description: MC is the vehicle registration code used on license plates for vehicles registered in the Province of Macerata in Italy.
-
A.
MC
chosen
MC is the Italian vehicle registration code assigned to the province of Macerata in the Marche region.
-
B.
MC
MC is the two-letter ISO 3166 country code for Monaco, the small sovereign city-state on the French Riviera known for its wealth, casinos, and the Monte Carlo district.
-
C.
MC
MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
-
D.
MC
MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
-
E.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbda9b548190a10a4835b2c75fdc |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd0e88e08190a07468336bb624f0 |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce23ca208190960409130c4c52a9 |
completed | May 3, 2026, 4:25 a.m. |
Created at: April 9, 2026, 8:57 p.m.