Triple
T13065964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augrabies Falls |
E329323
|
entity |
| Predicate | distanceFromUpington |
P108264
|
FINISHED |
| Object | about 120 kilometres west |
—
|
LITERAL 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: about 120 kilometres west | Statement: [Augrabies Falls, distanceFromUpington, about 120 kilometres west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUpington Context triple: [Augrabies Falls, distanceFromUpington, about 120 kilometres west]
-
A.
distanceFromWangaratta
Indicates the measured distance between a given location and the town of Wangaratta.
-
B.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
C.
distanceToAdelaide_km
Indicates the physical distance, measured in kilometers, between a given location and Adelaide.
-
D.
distanceToDarwin
Indicates the spatial distance between a given entity’s location and the location of Darwin.
-
E.
distanceFromKarratha
Indicates the measured spatial distance between a given entity or location and Karratha.
- F. None of above. chosen
Provenance (4 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d980e622e8819087a69bfb1660dd64 |
completed | April 10, 2026, 10:59 p.m. |
Created at: April 9, 2026, 8:59 p.m.