Triple
T461580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | equivalence principle |
E7349
|
entity |
| Predicate | weakFormFocusesOn |
P31
|
FINISHED |
| Object | universality of free fall for test 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: universality of free fall for test bodies | Statement: [equivalence principle, weakFormFocusesOn, universality of free fall for test bodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weakFormFocusesOn Context triple: [equivalence principle, weakFormFocusesOn, universality of free fall for test bodies]
-
A.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
C.
titleIFocus
Indicates that a work’s primary or central focus is expressed or summarized by the given title.
-
D.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
E.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
- 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.