Triple
T8696017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngong Ping 360 |
E206404
|
entity |
| Predicate | CrystalCabinDescription |
P84605
|
FINISHED |
| Object | cabins with glass bottom floor |
—
|
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: cabins with glass bottom floor | Statement: [Ngong Ping 360, CrystalCabinDescription, cabins with glass bottom floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CrystalCabinDescription Context triple: [Ngong Ping 360, CrystalCabinDescription, cabins with glass bottom floor]
-
A.
cabinLocation
Indicates the spatial or geographic location associated with a cabin.
-
B.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
C.
cabinHeightMeters
Indicates the height of a cabin measured in meters.
-
D.
cabinWidth
Indicates the measurement of how wide a cabin is across its interior.
-
E.
cabinConfiguration
Indicates how the interior space of a vehicle, vessel, or aircraft is arranged and organized for occupants or cargo.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582996a0819097ad03097ad1f103 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc582412f48190ae819965bfb0e75d |
completed | March 31, 2026, 11:26 p.m. |
Created at: March 30, 2026, 6:34 p.m.