Triple
T461578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | equivalence principle |
E7349
|
entity |
| Predicate | strongFormIncludes |
P1393
|
FINISHED |
| Object | self-gravitating bodies |
—
|
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: self-gravitating bodies | Statement: [equivalence principle, strongFormIncludes, self-gravitating bodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strongFormIncludes Context triple: [equivalence principle, strongFormIncludes, self-gravitating bodies]
-
A.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
B.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
C.
standardFormBasedIn
Indicates that a standardized form or format is established, defined, or grounded in a particular source, basis, or reference framework.
-
D.
establishedInCurrentForm
Indicates the point in time when something took on its present structure, organization, or configuration, distinct from any earlier versions or forms.
-
E.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.