Triple
T15187243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Trento |
E362908
|
entity |
| Predicate | hasMinorityLanguage |
P2267
|
FINISHED |
| Object |
Mocheno
Mocheno is a Germanic minority language spoken by a small community in northeastern Italy, particularly in the Trentino region.
|
E1142318
|
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: Mocheno | Statement: [Province of Trento, hasMinorityLanguage, Mocheno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mocheno Context triple: [Province of Trento, hasMinorityLanguage, Mocheno]
-
A.
Merlo
Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
-
B.
Menchu
Menchu is a Spanish diminutive form of the female given name Carmen, often used as an affectionate nickname.
-
C.
Miqui
Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
-
D.
Moxeno
Moxeno is an alternate spelling of Moxeño, an Arawakan language spoken by the Moxeño people of Bolivia.
-
E.
Marchigüe
Marchigüe is a rural commune and town in central Chile’s O’Higgins Region, known for its agricultural activities and traditional countryside character.
- 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: Mocheno Triple: [Province of Trento, hasMinorityLanguage, Mocheno]
Generated description
Mocheno is a Germanic minority language spoken by a small community in northeastern Italy, particularly in the Trentino region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mocheno Target entity description: Mocheno is a Germanic minority language spoken by a small community in northeastern Italy, particularly in the Trentino region.
-
A.
Merlo
Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
-
B.
Menchu
Menchu is a Spanish diminutive form of the female given name Carmen, often used as an affectionate nickname.
-
C.
Miqui
Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
-
D.
Moxeno
Moxeno is an alternate spelling of Moxeño, an Arawakan language spoken by the Moxeño people of Bolivia.
-
E.
Marchigüe
Marchigüe is a rural commune and town in central Chile’s O’Higgins Region, known for its agricultural activities and traditional countryside character.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec895b59c81908a09f8393a35aa13 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec9ece2fc8190811e83185cdb4dfc |
completed | May 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc58d7b0819082090b6205b77b16 |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:09 a.m.