Triple
T11578454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogon languages |
E274563
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Bondum Dom |
E615475
|
NE FINISHED |
How this triple was built (2 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: Bondum Dom | Statement: [Dogon languages, hasSubgroup, Bondum Dom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bondum Dom Context triple: [Dogon languages, hasSubgroup, Bondum Dom]
-
A.
Doma
Doma is a local government area and town in Nasarawa State, central Nigeria, known for its agrarian communities and proximity to the state capital, Lafia.
-
B.
Menmaatre
Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
-
C.
El Basatin
El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
-
D.
Buniyaad
Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
-
E.
Bedjond
chosen
Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714080a60819095205355776c8637 |
completed | April 21, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:38 p.m.