Triple
T15339932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solano language |
E366762
|
entity |
| Predicate | glottologReferenceName |
P6521
|
FINISHED |
| Object |
Solano
Solano is an extinct and poorly documented indigenous language once spoken in the region of present-day Colombia.
|
E1152026
|
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: Solano | Statement: [Solano language, glottologReferenceName, Solano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solano Context triple: [Solano language, glottologReferenceName, Solano]
-
A.
Solano
Solano is a rural municipality in southern Colombia known for its vast Amazonian rainforest areas and low population density within the Caquetá Department.
-
B.
Solano
Solano is a first-class municipality in the province of Nueva Vizcaya in the Philippines, known as one of its major commercial and trading centers.
-
C.
Solano County
Solano County is a county in the San Francisco Bay Area–Sacramento Valley region known for its mix of suburban communities, agriculture, and key transportation corridors.
-
D.
Alameda
Alameda is the main central avenue of Santiago, Chile, serving as a key thoroughfare and symbolic axis of the city.
-
E.
Alameda
Alameda is a major Lisbon metro and transport hub that serves as a key interchange point within the city's public transit network.
- 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: Solano Triple: [Solano language, glottologReferenceName, Solano]
Generated description
Solano is an extinct and poorly documented indigenous language once spoken in the region of present-day Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solano Target entity description: Solano is an extinct and poorly documented indigenous language once spoken in the region of present-day Colombia.
-
A.
Solano
Solano is a rural municipality in southern Colombia known for its vast Amazonian rainforest areas and low population density within the Caquetá Department.
-
B.
Solano
Solano is a first-class municipality in the province of Nueva Vizcaya in the Philippines, known as one of its major commercial and trading centers.
-
C.
Solano County
Solano County is a county in the San Francisco Bay Area–Sacramento Valley region known for its mix of suburban communities, agriculture, and key transportation corridors.
-
D.
Alameda
Alameda is the main central avenue of Santiago, Chile, serving as a key thoroughfare and symbolic axis of the city.
-
E.
Alameda
Alameda is a major Lisbon metro and transport hub that serves as a key interchange point within the city's public transit network.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f55e9881908612c4e384836fb5 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff030970588190a793cd710e819635 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff04633de08190867ad3baec6b2b02 |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.