Triple
T38557324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronner's Christmas Wonderland |
E925281
|
entity |
| Predicate | hasOutdoorDisplays |
P29093
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bronner's Christmas Wonderland, hasOutdoorDisplays, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorDisplays Context triple: [Bronner's Christmas Wonderland, hasOutdoorDisplays, true]
-
A.
hasOutdoorExhibits
chosen
Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
-
B.
hasOutdoorPlatforms
Indicates that an entity includes one or more platforms or boarding areas that are located outdoors rather than inside a building or covered structure.
-
C.
hasOnScreenSignage
Indicates that some form of written or graphic signage is visibly present on a screen within the visual content.
-
D.
hasSignageIn
Indicates that appropriate signs or signage for an entity are present or installed within a specified location or area.
-
E.
hasOutdoorLayout
Indicates that an entity includes, features, or is associated with a specific arrangement or design intended for an outdoor space.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.