Triple
T4292296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chukchi Peninsula |
E99622
|
entity |
| Predicate | nearestPointTo |
P55253
|
FINISHED |
| Object | North America from Russia |
—
|
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: North America from Russia | Statement: [Chukchi Peninsula, nearestPointTo, North America from Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestPointTo Context triple: [Chukchi Peninsula, nearestPointTo, North America from Russia]
-
A.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
-
B.
closerTo
Indicates that one entity is at a smaller distance to a reference entity than another entity is.
-
C.
nearestMajorPort
Indicates the closest significant seaport to a given location or entity, typically based on geographic distance.
-
D.
nearestRoadHead
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
-
E.
nearestMajorAttraction
Indicates the closest significant point of interest or landmark relative to a given location.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3508035a08190b752c8edce0aff86 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.