Triple
T23343197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherpa language |
E591786
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Jirel language
The Jirel language is a Kiranti language of the Sino-Tibetan family spoken by the Jirel ethnic community in eastern Nepal.
|
E1581099
|
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: Jirel language | Statement: [Sherpa language, closelyRelatedTo, Jirel language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jirel language Context triple: [Sherpa language, closelyRelatedTo, Jirel language]
-
A.
Itsari language
The Itsari language is a Northeast Caucasian (Dargin) variety spoken in Dagestan, Russia, closely related to the Kubachi language and used by a small local community.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Saraveca language
The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
-
D.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
-
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: Jirel language Triple: [Sherpa language, closelyRelatedTo, Jirel language]
Generated description
The Jirel language is a Kiranti language of the Sino-Tibetan family spoken by the Jirel ethnic community in eastern Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jirel language Target entity description: The Jirel language is a Kiranti language of the Sino-Tibetan family spoken by the Jirel ethnic community in eastern Nepal.
-
A.
Itsari language
The Itsari language is a Northeast Caucasian (Dargin) variety spoken in Dagestan, Russia, closely related to the Kubachi language and used by a small local community.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Saraveca language
The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
-
D.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
-
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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983431f08190b0078728d44872a8 |
completed | April 29, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cb88cd081908b7c20e31ef0134a |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c50930c348190b81f1a4cbf432d93 |
completed | May 19, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c511e9be4819083eb3ec76fea8d51 |
completed | May 19, 2026, 12:01 p.m. |
Created at: April 17, 2026, 5:18 p.m.