Triple
T13427535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacorehui language |
E313520
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Bacorehui
Bacorehui is an indigenous language of Mexico, traditionally spoken by a small native community and now considered highly endangered or possibly extinct.
|
E1038377
|
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: Bacorehui | Statement: [Bacorehui language, hasAlternativeName, Bacorehui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacorehui Context triple: [Bacorehui language, hasAlternativeName, Bacorehui]
-
A.
Bhaca
Bhaca are a Xhosa-related ethnic group of South Africa known for their distinct language variety, cultural traditions, and historical chiefdoms in the Eastern Cape region.
-
B.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
-
C.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
D.
Sosoxui
Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
-
E.
Hwaci
Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
- 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: Bacorehui Triple: [Bacorehui language, hasAlternativeName, Bacorehui]
Generated description
Bacorehui is an indigenous language of Mexico, traditionally spoken by a small native community and now considered highly endangered or possibly extinct.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bacorehui Target entity description: Bacorehui is an indigenous language of Mexico, traditionally spoken by a small native community and now considered highly endangered or possibly extinct.
-
A.
Bhaca
Bhaca are a Xhosa-related ethnic group of South Africa known for their distinct language variety, cultural traditions, and historical chiefdoms in the Eastern Cape region.
-
B.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
-
C.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
D.
Sosoxui
Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
-
E.
Hwaci
Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed1f9208190bf5ef5b8a7ded376 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730883cb48190add9469c48dc3e89 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:40 p.m.