Triple
T15277972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucanoan languages |
E365192
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Desano
Desano is an indigenous Tucanoan language spoken primarily by the Desano people in the northwestern Amazon region of Colombia and Brazil.
|
E1148025
|
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: Desano | Statement: [Tucanoan languages, hasMemberLanguage, Desano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desano Context triple: [Tucanoan languages, hasMemberLanguage, Desano]
-
A.
Deshnoke
Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
-
B.
Desulo
Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
-
C.
Dosso
Dosso is a key town in southwestern Niger that serves as an important regional and transportation hub.
-
D.
Deshay
Deshay is a variant transliteration of the Indian surname "Desai," commonly associated with communities in western India.
-
E.
Desaix
Desaix is a French surname most notably associated with General Louis Desaix, a prominent military leader during the French Revolutionary Wars.
- 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: Desano Triple: [Tucanoan languages, hasMemberLanguage, Desano]
Generated description
Desano is an indigenous Tucanoan language spoken primarily by the Desano people in the northwestern Amazon region of Colombia and Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Desano Target entity description: Desano is an indigenous Tucanoan language spoken primarily by the Desano people in the northwestern Amazon region of Colombia and Brazil.
-
A.
Deshnoke
Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
-
B.
Desulo
Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
-
C.
Dosso
Dosso is a key town in southwestern Niger that serves as an important regional and transportation hub.
-
D.
Deshay
Deshay is a variant transliteration of the Indian surname "Desai," commonly associated with communities in western India.
-
E.
Desaix
Desaix is a French surname most notably associated with General Louis Desaix, a prominent military leader during the French Revolutionary Wars.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef734f488190951d029183d456f5 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef154c11c8190b07efafe1252d8eb |
completed | May 9, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1b895f08190bedf6274b70f6d90 |
completed | May 9, 2026, 8:35 a.m. |
Created at: April 10, 2026, 3:14 a.m.