Triple
T12168515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rada lwa |
E289894
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Ayizan |
E289900
|
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: Ayizan | Statement: [Rada lwa, includes, Ayizan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayizan Context triple: [Rada lwa, includes, Ayizan]
-
A.
Ayizan
chosen
Ayizan is a prominent Haitian Vodou spirit revered as the patron of marketplaces, initiation rites, and sacred knowledge, especially associated with commerce and spiritual purity.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Aisai
Aisai is a city in central Japan known for its agricultural landscape and location within Aichi Prefecture near the Nagoya metropolitan area.
-
D.
Ayan
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
-
E.
Aigai
Aigai was an ancient Greek city of Aeolis in western Asia Minor, known as one of the Aeolian dodecapolis.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a45568819090662cd3547c9253 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.