Triple
T1054164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volcano Bay |
E22763
|
entity |
| Predicate | queueSystem |
P22105
|
FINISHED |
| Object | virtual line system |
—
|
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: virtual line system | Statement: [Volcano Bay, queueSystem, virtual line system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queueSystem Context triple: [Volcano Bay, queueSystem, virtual line system]
-
A.
queueType
chosen
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
-
B.
committeeSystem
Indicates that an entity operates under, is governed by, or is organized according to a committee-based decision-making system.
-
C.
chairingSystem
Indicates that an entity is responsible for leading, overseeing, or presiding over a particular system or organized structure.
-
D.
draftSystem
Indicates a system or mechanism responsible for selecting, assigning, or organizing individuals for compulsory service, typically in a military or similar structured context.
-
E.
dockingSystem
Indicates a relationship where one structure or vehicle is equipped with or connected to a system that enables secure docking with another compatible structure or vehicle.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.