Triple
T33284976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North |
E852157
|
entity |
| Predicate | directionRelativeToEarth |
P73279
|
FINISHED |
| Object | toward North Pole |
—
|
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: toward North Pole | Statement: [North, directionRelativeToEarth, toward North Pole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionRelativeToEarth Context triple: [North, directionRelativeToEarth, toward North Pole]
-
A.
directionFromEarth
Indicates the compass or spatial direction in which an entity is located as observed from Earth.
-
B.
directionRelativeTo
chosen
Indicates the spatial orientation of one entity in relation to another, such as which way it faces or points relative to a reference entity.
-
C.
motionRelativeToEarth
Indicates movement or change in position of an entity as measured or perceived relative to the Earth as a reference frame.
-
D.
orientationRelativeToI90
Indicates the directional alignment or positioning of something in relation to Interstate 90 (I-90), such as being parallel, perpendicular, or at a specific angle to it.
-
E.
positionRelativeToEarth
Indicates the spatial position or orientation of an entity in relation to the Earth as a reference frame.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:32 a.m.