Triple
T36956587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacking |
E914203
|
entity |
| Predicate | hasPuzzleDesign |
P188839
|
FINISHED |
| Object | multiple-solution puzzles |
—
|
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: multiple-solution puzzles | Statement: [Stacking, hasPuzzleDesign, multiple-solution puzzles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPuzzleDesign Context triple: [Stacking, hasPuzzleDesign, multiple-solution puzzles]
-
A.
hasPuzzleSolving
Indicates that an entity possesses the ability or characteristic of solving puzzles or engaging in puzzle-solving activities.
-
B.
hasPartInHisDesign
Indicates that one entity is included as a component or element within the design or plan created by another entity.
-
C.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
D.
hasDesigned
Indicates that one entity is the creator or designer of another entity.
-
E.
hasDesignSide
Indicates that one entity is located on, associated with, or corresponds to a particular side or face of another entity’s design.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.