Triple
T4384258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemaître–Hubble law |
E99201
|
entity |
| Predicate | observationalBasis |
P20345
|
FINISHED |
| Object | redshift measurements of galaxies |
—
|
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: redshift measurements of galaxies | Statement: [Lemaître–Hubble law, observationalBasis, redshift measurements of galaxies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationalBasis Context triple: [Lemaître–Hubble law, observationalBasis, redshift measurements of galaxies]
-
A.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
B.
observationalStatus
Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
-
C.
observedVia
chosen
Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
-
D.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
E.
isObservedIn
Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35263970c8190904ee20d81715833 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.