Triple
T2254112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koman languages |
E49680
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Gule language
The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
|
E247232
|
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: Gule language | Statement: [Koman languages, member, Gule language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gule language Context triple: [Koman languages, member, Gule language]
-
A.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
B.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
-
C.
Saluan language
The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
-
D.
Gane language
The Gane language is an Austronesian language spoken by the Gane people in the southern part of Halmahera in eastern Indonesia.
-
E.
Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
- 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: Gule language Triple: [Koman languages, member, Gule language]
Generated description
The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gule language Target entity description: The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
-
A.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
B.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
-
C.
Saluan language
The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
-
D.
Gane language
The Gane language is an Austronesian language spoken by the Gane people in the southern part of Halmahera in eastern Indonesia.
-
E.
Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc12029548190af9f2cdd7a4de2d6 |
completed | March 7, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1dd6fc8190bd762fb3a17258b0 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bbdef14819084b96389435ca080 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c2cfac48190b0425088e79cd122 |
completed | March 9, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:47 p.m.