Triple
T26217232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnetic North Pole |
E655662
|
entity |
| Predicate | wasLocatedNear |
P133903
|
FINISHED |
| Object | Canadian Arctic Archipelago for much of the 20th century |
—
|
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: Canadian Arctic Archipelago for much of the 20th century | Statement: [Magnetic North Pole, wasLocatedNear, Canadian Arctic Archipelago for much of the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLocatedNear Context triple: [Magnetic North Pole, wasLocatedNear, Canadian Arctic Archipelago for much of the 20th century]
-
A.
historicallyLocatedNear
chosen
Indicates that, in a historical context, one entity was geographically situated close to another entity.
-
B.
oftenLocatedNear
Indicates that one entity is frequently found in close physical proximity to another entity.
-
C.
locatedNearFormer
Indicates that one entity is situated close to another entity that previously occupied a nearby or the same location.
-
D.
situatedNextTo
Indicates that one entity is located immediately beside another, with no significant separation between them.
-
E.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d1b90a88190a77dcad664786c53 |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:54 p.m.