Triple
T2403354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Sudanic languages |
E50218
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Moru language
The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
|
E262316
|
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: Moru language | Statement: [Central Sudanic languages, hasPart, Moru language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moru language Context triple: [Central Sudanic languages, hasPart, Moru language]
-
A.
Rarámuri language
The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
-
D.
Muna language
The Muna language is an Austronesian language spoken primarily on Muna Island in Southeast Sulawesi, Indonesia, known for its rich verbal morphology and distinct phonological system.
-
E.
Marau language
The Marau language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
- 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: Moru language Triple: [Central Sudanic languages, hasPart, Moru language]
Generated description
The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moru language Target entity description: The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
-
A.
Rarámuri language
The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
-
D.
Muna language
The Muna language is an Austronesian language spoken primarily on Muna Island in Southeast Sulawesi, Indonesia, known for its rich verbal morphology and distinct phonological system.
-
E.
Marau language
The Marau language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8f8aa2881909192920ee394f0b3 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e554c08190b5268c41ab34f4d9 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4a5e9c481908426fe51343a1342 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb52bec1881909c589aea2af3684c |
completed | March 9, 2026, 11:55 a.m. |
Created at: March 4, 2026, 7:58 p.m.