Triple
T17122388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton’s bucket argument |
E415500
|
entity |
| Predicate | involvesObservation |
P34153
|
FINISHED |
| Object | concave water surface |
—
|
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: concave water surface | Statement: [Newton’s bucket argument, involvesObservation, concave water surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesObservation Context triple: [Newton’s bucket argument, involvesObservation, concave water surface]
-
A.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
B.
basedOnObservationOf
Indicates that something is derived from, justified by, or determined using a particular observation or set of observations.
-
C.
observation
Indicates that one entity perceives, monitors, or takes note of another entity or phenomenon, typically to gather information about it.
-
D.
observedVia
Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
-
E.
isObservedIn
chosen
Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80ac2cc819084fab829917c950a |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.