Triple
T4618805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | observable universe |
E100929
|
entity |
| Predicate | measuredUsing |
P24236
|
FINISHED |
| Object | redshift-distance relation |
—
|
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-distance relation | Statement: [observable universe, measuredUsing, redshift-distance relation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measuredUsing Context triple: [observable universe, measuredUsing, redshift-distance relation]
-
A.
measuredBy
chosen
Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
-
B.
measuredAs
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
-
C.
designedToMeasure
Indicates that one entity was intentionally created or configured for the purpose of quantifying, assessing, or evaluating another entity or its properties.
-
D.
measured
Indicates that one entity has determined or quantified a property, amount, or extent of another entity using some standard or instrument.
-
E.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.