Triple
T18694449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azan |
E457079
|
entity |
| Predicate | eponymousAncestorOf |
P3325
|
FINISHED |
| Object | Azania |
—
|
NE NERFINISHED |
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: Azania | Statement: [Azan, eponymousAncestorOf, Azania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azania Context triple: [Azan, eponymousAncestorOf, Azania]
-
A.
Azania
chosen
Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
-
B.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
-
C.
Nobadia
Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
-
D.
Andalasia
Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
-
E.
Jamuria
Jamuria is a coal-mining town in West Bengal, India, situated within the Raniganj coalfield region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e66a188190801fd95f9be26042 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.