Triple
T14415002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Amadeus |
E357426
|
entity |
| Predicate | distanceFromUluru |
P103253
|
FINISHED |
| Object | approximately 50 kilometres north |
—
|
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: approximately 50 kilometres north | Statement: [Lake Amadeus, distanceFromUluru, approximately 50 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUluru Context triple: [Lake Amadeus, distanceFromUluru, approximately 50 kilometres north]
-
A.
distanceToUluru
chosen
Indicates the spatial distance between a given entity and Uluru.
-
B.
distanceFromUluruByRoad_km
Indicates the distance in kilometers between an entity and Uluru when traveling by road rather than in a straight line.
-
C.
distanceToKununurra_km
Indicates the distance, measured in kilometers, from a given location to Kununurra.
-
D.
distanceFromAliceSprings
Indicates the spatial distance between a given location or entity and Alice Springs.
-
E.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
- F. None of above.
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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:17 a.m.