Triple
T22407633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half of a Yellow Sun |
E553917
|
entity |
| Predicate | depictsPlace |
P8908
|
FINISHED |
| Object | Nsukka |
—
|
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: Nsukka | Statement: [Half of a Yellow Sun, depictsPlace, Nsukka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nsukka Context triple: [Half of a Yellow Sun, depictsPlace, Nsukka]
-
A.
Nsukka
chosen
Nsukka is a town in Enugu State, southeastern Nigeria, known as an educational and cultural center and home to one of the country’s major universities.
-
B.
Soukka
Soukka is a district and metro station area in Espoo, Finland, served by the western extension of the Helsinki Metro.
-
C.
Sanuk
Sanuk is a footwear brand best known for its casual, comfort-focused sandals and shoes often associated with surf and outdoor lifestyles.
-
D.
Nakasi
Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
-
E.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158ba1c6481908e4b9b3635ed3a49 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.