Triple
T1564852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ives–Stilwell experiment |
E33408
|
entity |
| Predicate | testedPhenomenon |
P463
|
FINISHED |
| Object | relativistic Doppler effect |
—
|
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: relativistic Doppler effect | Statement: [Ives–Stilwell experiment, testedPhenomenon, relativistic Doppler effect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testedPhenomenon Context triple: [Ives–Stilwell experiment, testedPhenomenon, relativistic Doppler effect]
-
A.
phenomenon
Indicates that an entity is a perceptible event, occurrence, or process that can be observed or experienced.
-
B.
notableExperiment
Indicates that an entity is recognized for having conducted or been the subject of a particularly important or influential experiment.
-
C.
hasPerspectiveOnParanormal
Indicates that one entity holds a particular view, belief, or attitude regarding paranormal phenomena in relation to another entity or topic.
-
D.
functionHypothesis
Indicates that an entity is proposed or assumed to serve as a function or functional explanation for another entity or phenomenon.
-
E.
demonstratedConcept
chosen
Indicates that an entity has shown, illustrated, or made evident a particular concept through example, explanation, or action.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.