Triple
T16076208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Slavey |
E389984
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Bearlake language
The Bearlake language is an Athabaskan Indigenous language of the Dene people of Canada, considered a dialect or variety of North Slavey.
|
E1192326
|
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: Bearlake language | Statement: [North Slavey, closelyRelatedTo, Bearlake language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bearlake language Context triple: [North Slavey, closelyRelatedTo, Bearlake language]
-
A.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
-
B.
Batuley language
The Batuley language is an Austronesian language spoken by a small community in Indonesia’s Aru Islands.
-
C.
Unquachog language
The Unquachog language is an extinct Algonquian language once spoken by the Unkechaug people of Long Island, New York.
-
D.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
E.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
- 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: Bearlake language Triple: [North Slavey, closelyRelatedTo, Bearlake language]
Generated description
The Bearlake language is an Athabaskan Indigenous language of the Dene people of Canada, considered a dialect or variety of North Slavey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bearlake language Target entity description: The Bearlake language is an Athabaskan Indigenous language of the Dene people of Canada, considered a dialect or variety of North Slavey.
-
A.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
-
B.
Batuley language
The Batuley language is an Austronesian language spoken by a small community in Indonesia’s Aru Islands.
-
C.
Unquachog language
The Unquachog language is an extinct Algonquian language once spoken by the Unkechaug people of Long Island, New York.
-
D.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
E.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c27aac81909c56d200c0c51a0c |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48715e48190a493d1e373dc7c5f |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe5407d408190b6c5ac22f2e62026 |
completed | May 10, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe5d294c88190b60b9654899b5149 |
completed | May 10, 2026, 1:56 a.m. |
Created at: April 10, 2026, 4:57 a.m.