Triple
T10911984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datooga |
E257722
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Gidang’odiga
Gidang’odiga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
|
E892748
|
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: Gidang’odiga | Statement: [Datooga, hasDialect, Gidang’odiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gidang’odiga Context triple: [Datooga, hasDialect, Gidang’odiga]
-
A.
Gidar
Gidar is an Afroasiatic Chadic language spoken primarily in parts of northern Cameroon and neighboring regions.
-
B.
Geidam
Geidam is a town and local government area in northeastern Nigeria known for its location in Yobe State near the border with Niger.
-
C.
Gagode
Gagode is a village in Maharashtra, India, known primarily as the birthplace of the social reformer and Gandhian leader Vinoba Bhave.
-
D.
Gagata
Gagata is a genus of small Asian river catfishes known for their flattened bodies and adaptation to fast-flowing freshwater habitats.
-
E.
Gajoldoba
Gajoldoba is a scenic riverside area in West Bengal, India, known for its Teesta Barrage, birdwatching opportunities, and views of the surrounding forests and hills.
- 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: Gidang’odiga Triple: [Datooga, hasDialect, Gidang’odiga]
Generated description
Gidang’odiga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gidang’odiga Target entity description: Gidang’odiga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
-
A.
Gidar
Gidar is an Afroasiatic Chadic language spoken primarily in parts of northern Cameroon and neighboring regions.
-
B.
Geidam
Geidam is a town and local government area in northeastern Nigeria known for its location in Yobe State near the border with Niger.
-
C.
Gagode
Gagode is a village in Maharashtra, India, known primarily as the birthplace of the social reformer and Gandhian leader Vinoba Bhave.
-
D.
Gagata
Gagata is a genus of small Asian river catfishes known for their flattened bodies and adaptation to fast-flowing freshwater habitats.
-
E.
Gajoldoba
Gajoldoba is a scenic riverside area in West Bengal, India, known for its Teesta Barrage, birdwatching opportunities, and views of the surrounding forests and hills.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155550e388190bd441ac3a9dde435 |
completed | April 16, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69e1801eaa048190a5e8822b3da1077c |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831f8a6c819084bde8f71371cf8e |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:22 p.m.