Triple
T5797134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odinani |
E128534
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Ala |
E134086
|
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: Ala | Statement: [Odinani, hasDeity, Ala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ala Context triple: [Odinani, hasDeity, Ala]
-
A.
Ala
chosen
Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
-
B.
Altaelva
Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
-
C.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
-
D.
Alnôba
Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
-
E.
Osnos
Osnos is a surname most notably associated with American journalist and author Peter Osnos and his 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a945fe0819095e62d480c84a2b5 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0982ce0ac8190b9f12cedb66c5eb3 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.