Triple
T13416096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiwaka Province |
E313218
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Banz |
E1039399
|
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: Banz | Statement: [Jiwaka Province, hasTown, Banz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banz Context triple: [Jiwaka Province, hasTown, Banz]
-
A.
Banz
chosen
Banz is a town in Papua New Guinea that serves as the administrative and commercial center of Jiwaka Province.
-
B.
Banes
Banes is a coastal municipality in eastern Cuba’s Holguín Province, historically known for its sugar industry and archaeological sites.
-
C.
Bannik
Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
-
D.
Benkiya Bale
Benkiya Bale is a renowned Kannada literary work by poet K. S. Nissar Ahmed, celebrated for its evocative exploration of social and emotional themes.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73987cc088190839e8a589086639c |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:39 p.m.