Triple
T17620973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Dezhnev |
E429707
|
entity |
| Predicate | extremeDirection |
P47428
|
FINISHED |
| Object | easternmost point of the Asian continent |
—
|
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: easternmost point of the Asian continent | Statement: [Cape Dezhnev, extremeDirection, easternmost point of the Asian continent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extremeDirection Context triple: [Cape Dezhnev, extremeDirection, easternmost point of the Asian continent]
-
A.
directionalExtreme
chosen
Indicates that one entity lies at or near the furthest extent or boundary in a specified direction relative to another entity.
-
B.
extremalFunction
Indicates that a function attains an extreme value (such as a minimum or maximum) under given conditions or over a specified domain.
-
C.
hasExtremePoint
Indicates that one entity possesses or includes another entity that is an extreme (e.g., maximum or minimum) point within its structure or boundary.
-
D.
peakDirectionExpress
Indicates the direction in which a peak (such as a maximum value or intensity) is oriented or expressed.
-
E.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
- 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_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. |
Created at: April 10, 2026, 5:51 a.m.