Triple
T15522210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieb–Liniger model |
E368994
|
entity |
| Predicate | hasContinuityEquation |
P103051
|
FINISHED |
| Object | for particle density |
—
|
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: for particle density | Statement: [Lieb–Liniger model, hasContinuityEquation, for particle density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContinuityEquation Context triple: [Lieb–Liniger model, hasContinuityEquation, for particle density]
-
A.
continuityRelation
Indicates a relationship where one entity directly follows, extends, or maintains an unbroken connection with another in space, time, or logical sequence.
-
B.
hasRepresentationContinuity
Indicates that one entity maintains a consistent or continuous representational relationship with another across time, context, or state changes.
-
C.
isDivergenceFreeIn
chosen
Indicates that a field or quantity has zero divergence (i.e., no net source or sink) within a specified region or domain.
-
D.
hasEquationOfMotion
Indicates that one entity specifies or is associated with the equation of motion governing the dynamical behavior of another entity.
-
E.
hasConservedQuantity
Indicates that a system or process possesses a quantity that remains constant (is conserved) throughout its evolution or interactions.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.