Triple
T7822568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjouan |
E181165
|
entity |
| Predicate | localName |
P657
|
FINISHED |
| Object | Nzwani |
E695131
|
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: Nzwani | Statement: [Anjouan, localName, Nzwani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nzwani Context triple: [Anjouan, localName, Nzwani]
-
A.
Njomza
Njomza is a Kosovo-born, Chicago-raised singer-songwriter known for her R&B-influenced pop music and for co-writing major hits like Ariana Grande’s “7 Rings.”
-
B.
Ndzuwani
chosen
Ndzuwani is the local name for Anjouan, one of the main islands of the Union of the Comoros in the Indian Ocean.
-
C.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
-
D.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa095d7081908b3e492ce58b5d5f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a66c1c0819087ce9890f28bb022 |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:41 p.m.