Triple
T13982272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igala |
E336340
|
entity |
| Predicate | neighboringEthnicGroup |
P11274
|
FINISHED |
| Object | Bassa |
E328639
|
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: Bassa | Statement: [Igala, neighboringEthnicGroup, Bassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassa Context triple: [Igala, neighboringEthnicGroup, Bassa]
-
A.
Bassa
chosen
The Bassa are an ethnic group in Nigeria known for their distinct language and cultural traditions, with communities found in states such as Kogi.
-
B.
Bassa
Bassa is a Bantu language spoken primarily by the Bassa people of Cameroon and neighboring regions.
-
C.
Bassa Vah
Bassa Vah is an indigenous script used to write the Bassa language of Liberia, notable for its unique alphabetic characters and tonal marking system.
-
D.
Labayu
Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
-
E.
Bawi
Bawi was a Sasanian Persian military commander known for leading forces against the Byzantine Empire during the Iberian War in the 6th century.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.