Triple
T10301691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ndzebi |
E241646
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Njebi |
E240263
|
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: Njebi | Statement: [Ndzebi, hasAlternativeName, Njebi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Njebi Context triple: [Ndzebi, hasAlternativeName, Njebi]
-
A.
Njebi
chosen
Njebi is a Bantu language spoken primarily in Gabon by the Nzebi people.
-
B.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
C.
Nednai
Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
-
D.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
-
E.
Nedebang
Nedebang is a lesser-known Papuan language spoken on Pantar Island in eastern Indonesia, belonging to the Alor–Pantar language family.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30716d8819085e25a78e6af3b9d |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d47049c81909b60058c36042f71 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:44 a.m.