Triple
T5676591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresnel zones |
E125099
|
entity |
| Predicate | higherZonesContribution |
P65924
|
FINISHED |
| Object | partially cancel each other |
—
|
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: partially cancel each other | Statement: [Fresnel zones, higherZonesContribution, partially cancel each other]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherZonesContribution Context triple: [Fresnel zones, higherZonesContribution, partially cancel each other]
-
A.
numberOfZones
Indicates the quantity of distinct zones associated with or contained by a given entity.
-
B.
fareZoneHierarchyPosition
Indicates the relative level or rank of a fare zone within a hierarchical fare zone structure.
-
C.
numberOfThemedZones
Indicates the total count of distinct themed zones associated with or contained within an entity.
-
D.
hasHigherLevelRegion
Indicates that one region is geographically or administratively contained within and subordinate to a larger, higher-level region.
-
E.
hasHigherElevationArea
Indicates that one area is situated at a greater elevation above sea level than another area.
- F. None of above. chosen
Provenance (4 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0252e18988190a8f3aa0684c12fb8 |
completed | March 22, 2026, 5:21 p.m. |
Created at: March 22, 2026, 3:43 p.m.