Triple
T15292613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maningrida |
E365563
|
entity |
| Predicate | traditionalLanguage |
P6149
|
FINISHED |
| Object | Ndjébbana |
E1015898
|
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: Ndjébbana | Statement: [Maningrida, traditionalLanguage, Ndjébbana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndjébbana Context triple: [Maningrida, traditionalLanguage, Ndjébbana]
-
A.
Ndjébbana
chosen
Ndjébbana is an Aboriginal Australian language traditionally spoken by the Gunavidji people of north-central Arnhem Land in the Northern Territory.
-
B.
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
C.
Kandia
Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
-
D.
Ndenye
Ndenye is a lesser-known language belonging to the Central Tano branch of the Niger-Congo language family, spoken in West Africa.
-
E.
Ndalatando
Ndalatando is a city in north-central Angola that serves as an important administrative and commercial center in the region.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03682ea488190ac82fdbd0e855d34 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.