Triple
T2254159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuer language |
E49681
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Thok Naath
Thok Naath is the endonym used by speakers of the Nuer language to refer to their own language.
|
E247234
|
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: Thok Naath | Statement: [Nuer language, hasAlternativeName, Thok Naath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thok Naath Context triple: [Nuer language, hasAlternativeName, Thok Naath]
-
A.
Bholenath
Bholenath is a beloved epithet of the Hindu god Shiva, emphasizing his innocent, benevolent, and easily-pleased nature as a divine protector of devotees.
-
B.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
C.
Sīthalai Sāttanār
Sīthalai Sāttanār was a classical Tamil poet best known for composing the Buddhist epic Manimekalai, one of the Five Great Epics of Tamil literature.
-
D.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
-
E.
Swadaya
Swadaya is a modern vernacular form of Neo-Aramaic traditionally written in the East Syriac script and used by Assyrian Christian communities.
- 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: Thok Naath Triple: [Nuer language, hasAlternativeName, Thok Naath]
Generated description
Thok Naath is the endonym used by speakers of the Nuer language to refer to their own language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thok Naath Target entity description: Thok Naath is the endonym used by speakers of the Nuer language to refer to their own language.
-
A.
Bholenath
Bholenath is a beloved epithet of the Hindu god Shiva, emphasizing his innocent, benevolent, and easily-pleased nature as a divine protector of devotees.
-
B.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
C.
Sīthalai Sāttanār
Sīthalai Sāttanār was a classical Tamil poet best known for composing the Buddhist epic Manimekalai, one of the Five Great Epics of Tamil literature.
-
D.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
-
E.
Swadaya
Swadaya is a modern vernacular form of Neo-Aramaic traditionally written in the East Syriac script and used by Assyrian Christian communities.
- 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.