Triple
T15784789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shark Wreck Reef |
E382707
|
entity |
| Predicate | hasPathwayDesign |
P1529
|
FINISHED |
| Object | shipwreck-inspired decor |
—
|
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: shipwreck-inspired decor | Statement: [Shark Wreck Reef, hasPathwayDesign, shipwreck-inspired decor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPathwayDesign Context triple: [Shark Wreck Reef, hasPathwayDesign, shipwreck-inspired decor]
-
A.
hasPathway
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
B.
hasStepDesign
Indicates that one entity possesses or incorporates a particular step-related design or configuration in relation to another entity.
-
C.
hasDesigned
Indicates that one entity is the creator or designer of another entity.
-
D.
hasDesignOption
Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
-
E.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.