Triple
T14819503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceccano |
E348407
|
entity |
| Predicate | ISO3166-2 |
P189
|
FINISHED |
| Object |
IT-FR
IT-FR is the ISO 3166-2 code designating the Italian municipality of Ceccano in the Lazio region.
|
E1121600
|
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-FR | Statement: [Ceccano, ISO3166-2, IT-FR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IT-FR Context triple: [Ceccano, ISO3166-2, IT-FR]
-
A.
IFI
IFI is the acronym for the Philippine Independent Church, a self-governing Christian denomination that broke away from the Roman Catholic Church in the early 20th century and is known for its nationalist roots.
-
B.
IT-MT
IT-MT is the ISO 3166-2 subdivision code assigned to the Province of Matera in the Basilicata region of southern Italy.
-
C.
ITS
ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
-
D.
ITS
ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
-
E.
ITS
ITS is an acronym commonly used to refer to an Integrated Training Service, typically denoting a coordinated system or provider that delivers comprehensive training solutions.
- 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-FR Triple: [Ceccano, ISO3166-2, IT-FR]
Generated description
IT-FR is the ISO 3166-2 code designating the Italian municipality of Ceccano in the Lazio region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IT-FR Target entity description: IT-FR is the ISO 3166-2 code designating the Italian municipality of Ceccano in the Lazio region.
-
A.
IFI
IFI is the acronym for the Philippine Independent Church, a self-governing Christian denomination that broke away from the Roman Catholic Church in the early 20th century and is known for its nationalist roots.
-
B.
IT-MT
IT-MT is the ISO 3166-2 subdivision code assigned to the Province of Matera in the Basilicata region of southern Italy.
-
C.
ITS
ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
-
D.
ITS
ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
-
E.
ITS
ITS is an acronym commonly used to refer to an Integrated Training Service, typically denoting a coordinated system or provider that delivers comprehensive training solutions.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a315d2c81908db44e7792908e39 |
completed | May 8, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bda81cc8190b256ec6284383dde |
completed | May 8, 2026, 7:39 p.m. |
Created at: April 10, 2026, 1:50 a.m.