Triple
T6560615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burley Griffin Way |
E152572
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Barellan |
E80552
|
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: Barellan | Statement: [Burley Griffin Way, connects, Barellan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barellan Context triple: [Burley Griffin Way, connects, Barellan]
-
A.
Barellan
chosen
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
B.
Coracholan
Coracholan is an indigenous language of western Mexico, traditionally spoken by the Cora people in the Nayarit region.
-
C.
Carnide
Carnide is a civil parish and residential neighborhood in northern Lisbon, Portugal, known for its mix of historic village core and modern urban developments.
-
D.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
-
E.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.