Triple
T7357710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Residence (on selected A380 aircraft) |
E169666
|
entity |
| Predicate | bathroomFeatures |
P77041
|
FINISHED |
| Object | shower |
—
|
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: shower | Statement: [The Residence (on selected A380 aircraft), bathroomFeatures, shower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bathroomFeatures Context triple: [The Residence (on selected A380 aircraft), bathroomFeatures, shower]
-
A.
showerType
Indicates the specific kind or category of shower associated with an entity (e.g., walk-in, bathtub-shower combo, outdoor shower).
-
B.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
C.
numberOfBathrooms
Indicates the total count of bathrooms associated with an entity (such as a property or unit).
-
D.
hasRestrooms
Indicates that a place or facility provides access to restroom or toilet amenities.
-
E.
hasJacuzzi
Indicates that one entity possesses, includes, or is equipped with a jacuzzi.
- F. None of above. chosen
Provenance (4 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f26c050c8190a2d009b45d920490 |
completed | March 27, 2026, 9:11 p.m. |
Created at: March 27, 2026, 3:06 p.m.