Triple
T10300795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Benevento |
E241620
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Limatola
Limatola is a small Italian town and municipality in the Campania region, known for its historic castle and scenic position near the Volturno River.
|
E856429
|
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: Limatola | Statement: [Province of Benevento, hasMunicipality, Limatola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limatola Context triple: [Province of Benevento, hasMunicipality, Limatola]
-
A.
Lumbres
Lumbres is a small commune in the Pas-de-Calais department in northern France, situated within the administrative arrondissement of Saint-Omer.
-
B.
Pitalito
Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
-
C.
Orohena
Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
-
D.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
E.
Paillamachu
Paillamachu was a prominent Mapuche military leader (toqui) known for organizing resistance against Spanish conquest in what is now Chile.
- 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: Limatola Triple: [Province of Benevento, hasMunicipality, Limatola]
Generated description
Limatola is a small Italian town and municipality in the Campania region, known for its historic castle and scenic position near the Volturno River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limatola Target entity description: Limatola is a small Italian town and municipality in the Campania region, known for its historic castle and scenic position near the Volturno River.
-
A.
Lumbres
Lumbres is a small commune in the Pas-de-Calais department in northern France, situated within the administrative arrondissement of Saint-Omer.
-
B.
Pitalito
Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
-
C.
Orohena
Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
-
D.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
E.
Paillamachu
Paillamachu was a prominent Mapuche military leader (toqui) known for organizing resistance against Spanish conquest in what is now Chile.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2eefe8881908a672c4dca7657ca |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d3f2c2c8190a71e4a896d8753e7 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d7318402f08190b655bdddbd97ecb9 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d734473ef48190852dbe48742a4273 |
completed | April 9, 2026, 5:08 a.m. |
Created at: April 6, 2026, 11:44 a.m.