Triple
T25236260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paschen series |
E632344
|
entity |
| Predicate | electromagneticRegion |
P164785
|
FINISHED |
| Object | infrared |
—
|
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: infrared | Statement: [Paschen series, electromagneticRegion, infrared]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electromagneticRegion Context triple: [Paschen series, electromagneticRegion, infrared]
-
A.
formationRegion
Indicates the place or area where something originates, is created, or comes into being.
-
B.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
C.
accessPointRegion
Indicates the geographic or spatial region within which a given access point is located or operates.
-
D.
associatedRegionFeature
Indicates that something is linked or connected to a particular geographic or regional feature.
-
E.
regionOfRecognition
Indicates the geographic or administrative area within which something is officially acknowledged, valid, or recognized.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 21, 2026, 1:07 p.m.