Triple
T21143842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverland region |
E520998
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Waikerie |
—
|
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: Waikerie | Statement: [Riverland region, hasTown, Waikerie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waikerie Context triple: [Riverland region, hasTown, Waikerie]
-
A.
Waikerie
chosen
Waikerie is a rural town in South Australia's Riverland region, known for its citrus and grape growing, riverfront recreation, and role as a service hub for surrounding agricultural communities.
-
B.
Tamanique
Tamanique is a small town and municipality in western El Salvador known for its nearby waterfalls and coastal proximity.
-
C.
Effraya
Effraya is the principal city and administrative center of the region of Etung.
-
D.
Coquihani
Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
-
E.
Kaurareg
Kaurareg is a dialect of the Kalaw Lagaw Ya language traditionally spoken by the Kaurareg people of the Torres Strait in northern Australia.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fbb29881909c4036eab46ed440 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:57 p.m.