Triple
T27450455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 23 |
E692423
|
entity |
| Predicate | hasNumberingBasis |
P37553
|
FINISHED |
| Object | magnetic azimuth rounded to nearest 10 degrees |
—
|
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: magnetic azimuth rounded to nearest 10 degrees | Statement: [Runway 23, hasNumberingBasis, magnetic azimuth rounded to nearest 10 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberingBasis Context triple: [Runway 23, hasNumberingBasis, magnetic azimuth rounded to nearest 10 degrees]
-
A.
isNumberedBy
chosen
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
B.
hasNumberingRole
Indicates that an entity holds a specific role or responsibility related to assigning, managing, or using numbers within a given context.
-
C.
hasNumberingWithin
Indicates that one entity assigns or follows a specific numbering scheme within the scope or structure of another entity.
-
D.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
E.
hasCategoryNumbering
Indicates that an entity is assigned or associated with a specific category-based numbering or index within a classification system.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 12:47 p.m.