Triple
T31446168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiana’s Foods co-op |
E802191
|
entity |
| Predicate | queueElementType |
P171884
|
FINISHED |
| Object | environmental storytelling |
—
|
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: environmental storytelling | Statement: [Tiana’s Foods co-op, queueElementType, environmental storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queueElementType Context triple: [Tiana’s Foods co-op, queueElementType, environmental storytelling]
-
A.
queueType
Indicates the classification or category of a queue that specifies how items in it are organized, prioritized, or processed.
-
B.
queueTypical
Indicates that an entity is in or follows a standard or commonly expected queueing order or behavior relative to others.
-
C.
queueInterface
Indicates that one entity serves as a queue interface through which another entity can enqueue, dequeue, or otherwise manage queued items or requests.
-
D.
queueStyle
Indicates the manner or configuration in which items or entities are ordered and processed within a queue.
-
E.
queueBehavior
Indicates how an entity manages or responds to items or events in a queue, such as their order, timing, or handling strategy.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 9:09 p.m.