Triple
T2983279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wentworth Falls |
E80560
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Leura |
E80142
|
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: Leura | Statement: [Wentworth Falls, nearbyTown, Leura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leura Context triple: [Wentworth Falls, nearbyTown, Leura]
-
A.
Leura
chosen
Leura is a picturesque village in New South Wales, Australia, known for its heritage streetscapes, gardens, and scenic views within the Blue Mountains region.
-
B.
Mount Barney
Mount Barney is a prominent and rugged mountain in southeastern Queensland, Australia, renowned for its challenging hikes and striking natural scenery within Mount Barney National Park.
-
C.
Tenambit
Tenambit is a residential suburb in the Lower Hunter Region of New South Wales, Australia, situated near the city of Maitland.
-
D.
Tamborine
Tamborine is a stand-up comedy special by Chris Rock that blends sharp social commentary with personal reflection and was released on Netflix.
-
E.
Mount Lidgbird
Mount Lidgbird is a prominent volcanic mountain on Lord Howe Island in the Tasman Sea, known for its steep cliffs and dramatic coastal scenery.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f5e5c88190b9dd0a67cb159854 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.