Triple
T3841628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauk language |
E93462
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Sac language
Sac language is an Algonquian Native American language traditionally spoken by the Sauk (Sac) people of the central United States.
|
E393489
|
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: Sac language | Statement: [Sauk language, alsoKnownAs, Sac language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sac language Context triple: [Sauk language, alsoKnownAs, Sac language]
-
A.
Simbo language
The Simbo language is an Oceanic language spoken on Simbo Island in the Western Province of the Solomon Islands.
-
B.
Sara languages
Sara languages are a group of closely related Central Sudanic languages spoken primarily in southern Chad and neighboring regions.
-
C.
Sango language
Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language and now used widely in government, education, and daily communication.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Bo language
Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
- 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: Sac language Triple: [Sauk language, alsoKnownAs, Sac language]
Generated description
Sac language is an Algonquian Native American language traditionally spoken by the Sauk (Sac) people of the central United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sac language Target entity description: Sac language is an Algonquian Native American language traditionally spoken by the Sauk (Sac) people of the central United States.
-
A.
Simbo language
The Simbo language is an Oceanic language spoken on Simbo Island in the Western Province of the Solomon Islands.
-
B.
Sara languages
Sara languages are a group of closely related Central Sudanic languages spoken primarily in southern Chad and neighboring regions.
-
C.
Sango language
Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language and now used widely in government, education, and daily communication.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Bo language
Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb235088190b115623e54ea2ab1 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040d478081909a903bbf02f0d0ec |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b50492239c8190a6c62504e2a6d130 |
completed | March 14, 2026, 6:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50863e4a08190bd54274b2212abfc |
completed | March 14, 2026, 7:04 a.m. |
Created at: March 9, 2026, 3:18 p.m.