Triple
T13172482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Modena |
E313011
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Riolunato
Riolunato is a small Italian municipality in the Emilia-Romagna region, known for its Apennine mountain scenery and proximity to ski resorts such as Cimone.
|
E1025639
|
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: Riolunato | Statement: [Province of Modena, containsAdministrativeTerritorialEntity, Riolunato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riolunato Context triple: [Province of Modena, containsAdministrativeTerritorialEntity, Riolunato]
-
A.
Riomois
Riomois is the French demonym referring to inhabitants of the town of Riom in central France.
-
B.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
-
C.
Roccantica
Roccantica is a small medieval hilltop village in the Lazio region of central Italy, known for its historic architecture and scenic surroundings.
-
D.
Ragalna
Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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: Riolunato Triple: [Province of Modena, containsAdministrativeTerritorialEntity, Riolunato]
Generated description
Riolunato is a small Italian municipality in the Emilia-Romagna region, known for its Apennine mountain scenery and proximity to ski resorts such as Cimone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riolunato Target entity description: Riolunato is a small Italian municipality in the Emilia-Romagna region, known for its Apennine mountain scenery and proximity to ski resorts such as Cimone.
-
A.
Riomois
Riomois is the French demonym referring to inhabitants of the town of Riom in central France.
-
B.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
-
C.
Roccantica
Roccantica is a small medieval hilltop village in the Lazio region of central Italy, known for its historic architecture and scenic surroundings.
-
D.
Ragalna
Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2f22b881908a0af3af0a0af971 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafb81288190a6dcc3bd872998d8 |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6f18100148190bdb501b21d37e6af |
completed | May 3, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f25118508190a35d88cfbdfd77ec |
completed | May 3, 2026, 6:59 a.m. |
Created at: April 9, 2026, 9:13 p.m.