Triple
T27384118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 34 |
E691317
|
entity |
| Predicate | orientationAffectedBy |
P38251
|
FINISHED |
| Object | local magnetic variation |
—
|
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: local magnetic variation | Statement: [Runway 34, orientationAffectedBy, local magnetic variation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationAffectedBy Context triple: [Runway 34, orientationAffectedBy, local magnetic variation]
-
A.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
-
B.
orientationInducedBy
chosen
Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
-
C.
orientationProperty
Indicates that one entity has a specific spatial or directional orientation in relation to another entity or reference frame.
-
D.
orientedFrom
Indicates that one entity has a defined direction or orientation starting at or determined by another reference entity.
-
E.
orientationException
Indicates an exception or deviation from the normal or expected orientation relationship between entities.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:23 p.m.