Triple
T15370400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightning Ridge |
E367530
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Walgett |
E352504
|
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: Walgett | Statement: [Lightning Ridge, locatedNear, Walgett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walgett Context triple: [Lightning Ridge, locatedNear, Walgett]
-
A.
Walgett
chosen
Walgett is a remote town in north-western New South Wales, Australia, known as a service centre for surrounding agricultural areas and for its location near the junction of the Namoi and Barwon rivers.
-
B.
Lobethal
Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
-
C.
Willart
Willart is a given name or surname that functions as a variant spelling of Willard.
-
D.
Murrhardt
Murrhardt is a small historic town in the state of Baden-Württemberg in southwestern Germany, known for its scenic location in the Swabian-Franconian Forest.
-
E.
Reisenberg
Reisenberg is a small municipality in Lower Austria’s Baden District, known for its rural character and proximity to Vienna.
- 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_69e03e4b88a881909f9575c02aed287d |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.