Triple
T1582423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocos (Keeling) Islands |
E33794
|
entity |
| Predicate | distanceToAustraliaMainland |
P5691
|
FINISHED |
| Object | about 2,750 km northwest of Perth |
—
|
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 2,750 km northwest of Perth | Statement: [Cocos (Keeling) Islands, distanceToAustraliaMainland, about 2,750 km northwest of Perth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAustraliaMainland Context triple: [Cocos (Keeling) Islands, distanceToAustraliaMainland, about 2,750 km northwest of Perth]
-
A.
distanceFromSydney
Indicates the spatial distance between a given location and the city of Sydney.
-
B.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
distanceFromNewZealandMainland_km
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of New Zealand.
-
D.
distanceToMelbourne
Indicates the spatial distance between a given location or entity and the city of Melbourne.
-
E.
distanceFromCanberra
Indicates the spatial distance between a given location and the city of Canberra.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.