Triple
T20102120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buna |
E496570
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gona |
—
|
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: Gona | Statement: [Buna, locatedNear, Gona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gona Context triple: [Buna, locatedNear, Gona]
-
A.
Gona
chosen
Gona is a coastal village in Papua New Guinea that was a key site of intense fighting during the World War II New Guinea campaign.
-
B.
Ganta
Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
-
C.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
D.
Nggela
Nggela is an Oceanic language spoken by the Nggela (Florida) Islands communities in the Central Province of the Solomon Islands.
-
E.
Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66670a5b48190afe06c8a582bba3d |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.