Triple
T646964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast Passage |
E11261
|
entity |
| Predicate | shorterThan |
P11452
|
FINISHED |
| Object | route via Suez Canal between Europe and East Asia |
—
|
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: route via Suez Canal between Europe and East Asia | Statement: [Northeast Passage, shorterThan, route via Suez Canal between Europe and East Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shorterThan Context triple: [Northeast Passage, shorterThan, route via Suez Canal between Europe and East Asia]
-
A.
smallerThan
chosen
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
B.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
largerThan
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
E.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1cb24481909d3b41a56b29dee9 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0c0dcc8190849211d45489a5a7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.