Triple
T22587911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Pass |
E564850
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Leura |
—
|
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: Leura | Statement: [Federal Pass, locatedNear, Leura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leura Context triple: [Federal Pass, locatedNear, 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.
Woodentop
Woodentop is a British television police drama pilot that introduced the characters and format later developed into the long-running series "The Bill."
-
D.
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.
-
E.
Goornong
Goornong is a small rural township in central Victoria, Australia, situated along the railway corridor between Bendigo and Echuca.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615de7d48190b1ca46c76a1e609c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:47 p.m.