Triple
T6148347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiranti languages |
E137135
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dumi language
Dumi language is a Kiranti language of the Sino-Tibetan family spoken by the Dumi people in eastern Nepal.
|
E572261
|
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: Dumi language | Statement: [Kiranti languages, hasMember, Dumi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dumi language Context triple: [Kiranti languages, hasMember, Dumi 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.
Kumzari language
The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
-
C.
Namuyi language
The Namuyi language is a lesser-known Sino-Tibetan language spoken by the Namuyi people in parts of Sichuan and Yunnan in southwestern China.
-
D.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
E.
Lendu language
The Lendu language is a Central Sudanic language spoken primarily by the Lendu people in northeastern Democratic Republic of the Congo.
- 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: Dumi language Triple: [Kiranti languages, hasMember, Dumi language]
Generated description
Dumi language is a Kiranti language of the Sino-Tibetan family spoken by the Dumi people in eastern Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dumi language Target entity description: Dumi language is a Kiranti language of the Sino-Tibetan family spoken by the Dumi people in eastern Nepal.
-
A.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
B.
Kumzari language
The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
-
C.
Namuyi language
The Namuyi language is a lesser-known Sino-Tibetan language spoken by the Namuyi people in parts of Sichuan and Yunnan in southwestern China.
-
D.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
E.
Lendu language
The Lendu language is a Central Sudanic language spoken primarily by the Lendu people in northeastern Democratic Republic of the Congo.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce07fb081909278088e9e2e2959 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.