Triple
T5676590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresnel zones |
E125099
|
entity |
| Predicate | firstZoneContribution |
P65923
|
FINISHED |
| Object | dominant in received field |
—
|
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: dominant in received field | Statement: [Fresnel zones, firstZoneContribution, dominant in received field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstZoneContribution Context triple: [Fresnel zones, firstZoneContribution, dominant in received field]
-
A.
firstContributor
Indicates that the subject is the earliest or initial contributor to the object within a given context or project.
-
B.
contributionBase
Indicates the foundational amount, value, or resource on which a contribution, payment, or benefit is calculated or determined.
-
C.
firstReleaseRegion
Indicates the geographic region or market where something (such as a product, work, or release) was first made publicly available.
-
D.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
-
E.
firstCongruence
Indicates that one entity is the initial or primary instance in a set of congruent (equivalent in form or measure) entities or relationships.
- 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.