Triple
T22462213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastis 51 |
E555256
|
entity |
| Predicate | dilutionEffect |
P109215
|
FINISHED |
| Object | louche effect |
—
|
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: louche effect | Statement: [Pastis 51, dilutionEffect, louche effect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dilutionEffect Context triple: [Pastis 51, dilutionEffect, louche effect]
-
A.
concentrationParameterAffects
chosen
Indicates that a change in a concentration parameter has an influence or impact on another variable, condition, or outcome.
-
B.
isDilutable
Indicates that a substance or solution can be thinned or reduced in concentration by adding another medium, typically a solvent.
-
C.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
-
D.
effectOfDraining
Indicates the outcome or consequence that results from a draining process or action.
-
E.
largelyDissolvedBy
Indicates that one entity is mostly broken down, disintegrated, or brought into solution by another entity, though not necessarily completely.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.