Triple
T12196625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braitling |
E290601
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Araluen |
E290602
|
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: Araluen | Statement: [Braitling, hasBorderWith, Araluen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araluen Context triple: [Braitling, hasBorderWith, Araluen]
-
A.
Araluen
Araluen is a small rural locality in New South Wales, Australia, historically known for its gold mining and scenic valley landscapes.
-
B.
Araluen
chosen
Araluen is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
-
C.
Aral
Aral is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and a local center for the surrounding steppe region.
-
D.
Aral
Aral is a major German fuel retail and service station brand owned by the energy company BP.
-
E.
Aral
Aral is a city located along the Tarim River in the Xinjiang Uyghur Autonomous Region of western China.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c56b4d88190b6a32baff3375dc4 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9150448190b30e6e2dd8eec3b4 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.