Triple
T7570510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayleigh scattering |
E179225
|
entity |
| Predicate | yearCharacterizedApprox |
P13770
|
FINISHED |
| Object | 1871 |
—
|
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: 1871 | Statement: [Rayleigh scattering, yearCharacterizedApprox, 1871]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearCharacterizedApprox Context triple: [Rayleigh scattering, yearCharacterizedApprox, 1871]
-
A.
yearCirca
Indicates that the associated year is approximate or uncertain rather than exact.
-
B.
yearDescribedAs
chosen
Indicates the specific year in which something was formally characterized, documented, or described.
-
C.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
D.
approximateStartYear
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
-
E.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f920540c8190817712db5aa3eeff |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.