Triple
T6877994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airlie Beach |
E158718
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Proserpine |
E354530
|
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: Proserpine | Statement: [Airlie Beach, hasNearbyTown, Proserpine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proserpine Context triple: [Airlie Beach, hasNearbyTown, Proserpine]
-
A.
Proserpine
Proserpine is a French Baroque opera by Jean-Baptiste Lully, first performed in 1680 and based on the myth of Proserpina’s abduction to the underworld.
-
B.
Proserpine
chosen
Proserpine is a rural town in Queensland, Australia, known as a service and agricultural hub in the Whitsunday Region.
-
C.
Philyra
Philyra is an Oceanid nymph in Greek mythology best known as the mother of the centaur Chiron.
-
D.
Attaleia
Attaleia was an important ancient coastal city in the region of Pamphylia, in what is now southern Turkey, known for its strategic harbor and role in Mediterranean trade.
-
E.
Aeno
Aeno refers to the Eno people, an Indigenous group historically associated with the southeastern region of what is now the United States.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ccc29c8190904cb73c4cbb5dca |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742c2b81881909bd13df0d6028cc6 |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.