Triple
T36218198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunyarinyi |
E1047760
|
entity |
| Predicate | hasBroadAdministrativeRegion |
P61858
|
FINISHED |
| Object | Far North region of South Australia |
—
|
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: Far North region of South Australia | Statement: [Yunyarinyi, hasBroadAdministrativeRegion, Far North region of South Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadAdministrativeRegion Context triple: [Yunyarinyi, hasBroadAdministrativeRegion, Far North region of South Australia]
-
A.
hasBroadRegion
Indicates that an entity is associated with, located in, or applicable to a relatively large or general geographic or conceptual region.
-
B.
hasAdministrativeArea
Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
-
C.
wasAdministrativeRegion
Indicates that one entity formerly served as an official administrative region governed or overseen by another entity.
-
D.
associatedAdministrativeRegion
chosen
Indicates that an entity is linked to, or falls under the jurisdiction of, a particular administrative region.
-
E.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
- F. None of above.
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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:09 p.m.