Triple
T29468482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gagarin (walled plain) |
E747445
|
entity |
| Predicate | isInReferenceFrame |
P135723
|
FINISHED |
| Object | selenocentric |
—
|
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: selenocentric | Statement: [Gagarin (walled plain), isInReferenceFrame, selenocentric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInReferenceFrame Context triple: [Gagarin (walled plain), isInReferenceFrame, selenocentric]
-
A.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
B.
isReferenceSystemFor
chosen
Indicates that one system serves as the coordinate or measurement framework used to define, locate, or describe positions or values in another system.
-
C.
isReferencedIn
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
-
D.
hasRestFrame
Indicates that an entity possesses or is associated with a specific inertial frame of reference in which it is considered at rest.
-
E.
usedReferenceFrame
Indicates that one entity adopts or relies on another entity as the coordinate system or reference frame for describing positions, motions, or measurements.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66ba94d588190b53154dfa3bbc52f |
completed | May 2, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:55 p.m.