Triple
T3357059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Athabaskan languages |
E70629
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sekani language
The Sekani language is an Indigenous Northern Athabaskan language spoken by the Sekani people of north-central British Columbia, Canada.
|
E350872
|
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: Sekani language | Statement: [Northern Athabaskan languages, hasMember, Sekani language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sekani language Context triple: [Northern Athabaskan languages, hasMember, Sekani language]
-
A.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
B.
Kitanemuk language
The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
-
C.
Mikasuki language
The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
-
D.
Kawaiisu language
Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
-
E.
Sakizaya language
The Sakizaya language is an indigenous Austronesian language spoken by the Sakizaya people of eastern Taiwan.
- 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: Sekani language Triple: [Northern Athabaskan languages, hasMember, Sekani language]
Generated description
The Sekani language is an Indigenous Northern Athabaskan language spoken by the Sekani people of north-central British Columbia, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sekani language Target entity description: The Sekani language is an Indigenous Northern Athabaskan language spoken by the Sekani people of north-central British Columbia, Canada.
-
A.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
B.
Kitanemuk language
The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
-
C.
Mikasuki language
The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
-
D.
Kawaiisu language
Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
-
E.
Sakizaya language
The Sakizaya language is an indigenous Austronesian language spoken by the Sakizaya people of eastern Taiwan.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb244435c81908e35d2aa36ec4f46 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3253b03e8819082a5bf5bd5c5d5cb |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325ffdef081909b9665468f305336 |
completed | March 12, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b32714d57c8190a59619dfab19656f |
completed | March 12, 2026, 8:50 p.m. |
Created at: March 8, 2026, 3:13 p.m.