Triple
T9012637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brilliant Lady |
E215511
|
entity |
| Predicate | cruiseStyle |
P25597
|
FINISHED |
| Object | contemporary |
—
|
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: contemporary | Statement: [Brilliant Lady, cruiseStyle, contemporary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cruiseStyle Context triple: [Brilliant Lady, cruiseStyle, contemporary]
-
A.
cruiseSpeed
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
B.
voyageType
Indicates the specific category or nature of a journey or trip that an entity undertakes.
-
C.
cruiseRegion
Indicates the geographic region or area in which a cruise operates or takes place.
-
D.
touringStyle
chosen
Indicates the manner or approach in which an entity conducts or experiences a tour (e.g., type, format, or style of touring).
-
E.
servesCruisePort
Indicates that one entity (typically a transportation service or route) provides service to or operates at a particular cruise port.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f96980819093bfc49d48570c65 |
completed | April 1, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:06 p.m.