Triple
T3951596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chadic languages |
E84876
|
entity |
| Predicate | majorLanguage |
P207
|
FINISHED |
| Object |
Mofu-Gudur
Mofu-Gudur is a Central Chadic language spoken primarily by the Mofu-Gudur people in northern Cameroon.
|
E402507
|
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: Mofu-Gudur | Statement: [Chadic languages, majorLanguage, Mofu-Gudur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mofu-Gudur Context triple: [Chadic languages, majorLanguage, Mofu-Gudur]
-
A.
Gyoda
Gyoda is a historic city in eastern Japan known for its ancient rice paddies, traditional tabi sock production, and preserved castle town atmosphere.
-
B.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
C.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
D.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
E.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
- 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: Mofu-Gudur Triple: [Chadic languages, majorLanguage, Mofu-Gudur]
Generated description
Mofu-Gudur is a Central Chadic language spoken primarily by the Mofu-Gudur people in northern Cameroon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mofu-Gudur Target entity description: Mofu-Gudur is a Central Chadic language spoken primarily by the Mofu-Gudur people in northern Cameroon.
-
A.
Gyoda
Gyoda is a historic city in eastern Japan known for its ancient rice paddies, traditional tabi sock production, and preserved castle town atmosphere.
-
B.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
C.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
D.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
E.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9384cdc8190ad89b32dc25ac1d7 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a80d4c8190bb1aac1b2900d9a8 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5341fb74081909a33753e5fdd5c32 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534d279548190bee44aea7828ed3b |
completed | March 14, 2026, 10:13 a.m. |
Created at: March 9, 2026, 3:30 p.m.