Triple
T3866567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouvet Island |
E91870
|
entity |
| Predicate | distanceToAntarctica |
P6357
|
FINISHED |
| Object | about 1700 kilometres |
—
|
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 1700 kilometres | Statement: [Bouvet Island, distanceToAntarctica, about 1700 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAntarctica Context triple: [Bouvet Island, distanceToAntarctica, about 1700 kilometres]
-
A.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
B.
distanceToSouthAmerica
Indicates the spatial distance between a given entity’s location and the continent of South America.
-
C.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
-
D.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
-
E.
distanceToContinentApproximate
chosen
Indicates an approximate measure of how far something is from a specified continent.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3b8d988190b56d42ac1521e19c |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.