Triple
T14930157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Island |
E372238
|
entity |
| Predicate | distanceToPrinceEdwardIsland |
P116707
|
FINISHED |
| Object | about 19 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 19 kilometres | Statement: [Marion Island, distanceToPrinceEdwardIsland, about 19 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPrinceEdwardIsland Context triple: [Marion Island, distanceToPrinceEdwardIsland, about 19 kilometres]
-
A.
distanceFromHalifax
Indicates the spatial distance between a given entity or location and Halifax.
-
B.
distanceToDalhousie
Indicates the spatial distance between a given entity and Dalhousie.
-
C.
distanceToTofino_km
Indicates the distance, measured in kilometers, between a given location and Tofino.
-
D.
distanceToOuterHebrides
Indicates the measured distance between a given entity’s location and the Outer Hebrides.
-
E.
distanceFromFortWilliam
Indicates the measured distance between an entity and Fort William.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:36 a.m.