Triple
T29739181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MQPUT |
E752547
|
entity |
| Predicate | requiresQueueState |
P102279
|
FINISHED |
| Object | open for output |
—
|
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: open for output | Statement: [MQPUT, requiresQueueState, open for output]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresQueueState Context triple: [MQPUT, requiresQueueState, open for output]
-
A.
hasQueueRequirement
chosen
Indicates that an entity must satisfy or adhere to a specified queue-related condition or rule.
-
B.
usesQueue
Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
-
C.
hasQueue
Indicates that an entity maintains or is associated with a queue, typically representing an ordered list of items or tasks awaiting processing.
-
D.
requiredNumberOfStates
Indicates the specific number of distinct states that something must have or support in order to meet a given requirement or condition.
-
E.
hasQueueAccessibility
Indicates that an entity provides accessible features or accommodations for people with disabilities in its queuing or waiting areas.
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 28, 2026, 7:47 p.m.