Triple
T26336320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artyomovsky |
E662530
|
entity |
| Predicate | locatedOnContinentBoundary |
P67212
|
FINISHED |
| Object | Eurasia |
—
|
NE NERFINISHED |
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: Eurasia | Statement: [Artyomovsky, locatedOnContinentBoundary, Eurasia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnContinentBoundary Context triple: [Artyomovsky, locatedOnContinentBoundary, Eurasia]
-
A.
liesOnBorderOf
chosen
Indicates that one entity is located along or directly adjacent to the boundary line separating it from another entity.
-
B.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
-
C.
borderedByContinent
Indicates that one entity has a land or maritime boundary directly adjacent to the specified continent.
-
D.
locatedOnTerritoryOf
Indicates that one entity is situated within or on the land area governed or owned by another entity.
-
E.
connectsToCountryBorder
Indicates that one entity is directly adjacent to and touches the border 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 26, 2026, 10:36 p.m.