Triple
T7526217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 22 |
E177898
|
entity |
| Predicate | typicalHeadingRange |
P13474
|
FINISHED |
| Object | between 215 degrees and 224 degrees magnetic |
—
|
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: between 215 degrees and 224 degrees magnetic | Statement: [Runway 22, typicalHeadingRange, between 215 degrees and 224 degrees magnetic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHeadingRange Context triple: [Runway 22, typicalHeadingRange, between 215 degrees and 224 degrees magnetic]
-
A.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
B.
titleStart
Indicates that one entity’s title begins with the text or substring represented by the other entity.
-
C.
titleHierarchy
Indicates a hierarchical relationship between titles, where one title is ranked above or below another in an ordered structure.
-
D.
titlePattern
Indicates that there is a specific structural or textual pattern that the title of an entity is expected to follow.
-
E.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.