Triple
T1564873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ives–Stilwell experiment |
E33408
|
entity |
| Predicate | usedReferenceFrame |
P29500
|
FINISHED |
| Object | laboratory frame |
—
|
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: laboratory frame | Statement: [Ives–Stilwell experiment, usedReferenceFrame, laboratory frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedReferenceFrame Context triple: [Ives–Stilwell experiment, usedReferenceFrame, laboratory frame]
-
A.
usedDataFrom
Indicates that one entity utilized or relied on data originating from another entity.
-
B.
usedResource
Indicates that an entity has utilized or consumed a particular resource in performing an action or achieving a result.
-
C.
laterUsedBy
Indicates that something is subsequently utilized or employed by a specified entity at a later time.
-
D.
usedBefore
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
-
E.
isReferencedIn
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69a90fcb8ca48190a9ee50559ba73b22 |
completed | March 5, 2026, 5:08 a.m. |
Created at: March 4, 2026, 7:27 p.m.