Triple
T7189184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffman lift force |
E167642
|
entity |
| Predicate | derivedUnder |
P909
|
FINISHED |
| Object | Stokes flow approximation around the particle |
—
|
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: Stokes flow approximation around the particle | Statement: [Saffman lift force, derivedUnder, Stokes flow approximation around the particle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivedUnder Context triple: [Saffman lift force, derivedUnder, Stokes flow approximation around the particle]
-
A.
derivedBy
Indicates that one entity is obtained, produced, or inferred from another through some transformation, process, or reasoning.
-
B.
derivedFrom
chosen
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
C.
derivedInto
Indicates that one entity is produced, transformed, or evolved from another as a result of some derivation process.
-
D.
constructedUnder
Indicates that something was built, created, or assembled while subject to the authority, direction, or conditions imposed by a particular agent, rule, plan, or regime.
-
E.
differentiatedFrom
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e3d9188190ba2792098d76fb86 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.