Triple
T15364501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Mountains local government area |
E367375
|
entity |
| Predicate | containsTown |
P847
|
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: [Blue Mountains local government area, containsTown, Leura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leura Context triple: [Blue Mountains local government area, containsTown, 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.
Tollygunge
Tollygunge is a neighborhood in south Kolkata, India, best known as the historic hub of the Bengali film industry.
-
C.
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.
-
D.
Tenambit
Tenambit is a residential suburb in the Lower Hunter Region of New South Wales, Australia, situated near the city of Maitland.
-
E.
Tamborine Mountain
Tamborine Mountain is a scenic plateau in southeast Queensland, Australia, known for its rainforests, waterfalls, walking tracks, and arts-and-crafts villages.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4cc39c81908a0aff959352f6d5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.