Triple
T7783549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pesaro |
E187184
|
entity |
| Predicate | hasRegionCode |
P3446
|
FINISHED |
| Object |
IT-MC
IT-MC is the Italian provincial code for the Province of Macerata in the Marche region.
|
E693452
|
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: IT-MC | Statement: [Pesaro, hasRegionCode, IT-MC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IT-MC Context triple: [Pesaro, hasRegionCode, IT-MC]
-
A.
ICT
ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
-
B.
ICT
ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
-
C.
ICT
ICT was a major British computer manufacturer formed in the late 1950s that played a key role in the early development and commercialization of computing in the United Kingdom.
-
D.
ICT
ICT (Information and Communication Technology) is a broad field that focuses on the development, management, and use of digital technologies and communication systems to process, transmit, and store information.
-
E.
IMT-MC
IMT-MC is a CDMA-based third-generation (3G) mobile communication standard within the IMT-2000 family, designed to provide high-capacity voice and data services.
- 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: IT-MC Triple: [Pesaro, hasRegionCode, IT-MC]
Generated description
IT-MC is the Italian provincial code for the Province of Macerata in the Marche region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IT-MC Target entity description: IT-MC is the Italian provincial code for the Province of Macerata in the Marche region.
-
A.
ICT
ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
-
B.
ICT
ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
-
C.
ICT
ICT was a major British computer manufacturer formed in the late 1950s that played a key role in the early development and commercialization of computing in the United Kingdom.
-
D.
ICT
ICT (Information and Communication Technology) is a broad field that focuses on the development, management, and use of digital technologies and communication systems to process, transmit, and store information.
-
E.
IMT-MC
IMT-MC is a CDMA-based third-generation (3G) mobile communication standard within the IMT-2000 family, designed to provide high-capacity voice and data services.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf1f9c648190ac2b06d0d54035ea |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5e400d881909d6cdeb7eaac3a59 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:22 p.m.