Triple
T22176739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Lakes Council (former) |
E548068
|
entity |
| Predicate | containedLocalities |
P129318
|
FINISHED |
| Object | Nabiac |
—
|
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: Nabiac | Statement: [Great Lakes Council (former), containedLocalities, Nabiac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabiac Context triple: [Great Lakes Council (former), containedLocalities, Nabiac]
-
A.
Nabiac
chosen
Nabiac is a small rural village in New South Wales, Australia, known for its farming community and proximity to the Wallamba River and coastal attractions.
-
B.
Dabou
Dabou is a coastal town in southern Ivory Coast known for its proximity to Abidjan and its location near the Ébrié Lagoon.
-
C.
Tracunhaém
Tracunhaém is a municipality in the state of Pernambuco, Brazil, that forms part of the greater Recife metropolitan area.
-
D.
Loum
Loum is a town in Cameroon's Littoral Region, known primarily as an agricultural center in the country's western highlands.
-
E.
Iboundji
Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6c40988190ba52ea46079eb306 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.