Triple
T17620997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Dezhnev |
E429707
|
entity |
| Predicate | distanceToOppositePoint |
P128310
|
FINISHED |
| Object | about 82 kilometers to Cape Prince of Wales |
—
|
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 82 kilometers to Cape Prince of Wales | Statement: [Cape Dezhnev, distanceToOppositePoint, about 82 kilometers to Cape Prince of Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToOppositePoint Context triple: [Cape Dezhnev, distanceToOppositePoint, about 82 kilometers to Cape Prince of Wales]
-
A.
distanceFromCentre
Indicates the measured or specified distance of an entity from a defined central point.
-
B.
hasOppositeDirectionTo
Indicates that one entity’s direction is exactly reversed or opposed to the direction of another entity.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
oppositeLatitude
Indicates that one entity is located at the same longitude as another but at the latitude that is equal in magnitude and opposite in sign (i.e., mirrored across the equator).
-
E.
distanceToTerminal
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d36074481909ee79e238841edf2 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.