Triple
T8826792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corail coaches |
E210034
|
entity |
| Predicate | hasClassConfiguration |
P13644
|
FINISHED |
| Object | first class |
—
|
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: first class | Statement: [Corail coaches, hasClassConfiguration, first class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassConfiguration Context triple: [Corail coaches, hasClassConfiguration, first class]
-
A.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
B.
hasClassGroup
Indicates that an entity belongs to or is associated with a particular class group or category.
-
C.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
D.
hasNavigationClass
Indicates that an entity is assigned to, or associated with, a particular navigation-related classification or category.
-
E.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6034e8dc819099116d772e87569a |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.