Triple
T29168182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZZ method |
E739378
|
entity |
| Predicate | puzzleDomain |
P74559
|
FINISHED |
| Object | twisty 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: twisty puzzles | Statement: [ZZ method, puzzleDomain, twisty puzzles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: puzzleDomain Context triple: [ZZ method, puzzleDomain, twisty puzzles]
-
A.
puzzleType
chosen
Indicates the specific category or kind of puzzle that an item, activity, or problem belongs to.
-
B.
notableRiddle
Indicates that an entity is a well-known or significant riddle associated with another entity (such as a person, work, or context).
-
C.
ApolloDomain
Indicates a relationship where something belongs to, is governed by, or falls under the scope of the Apollo domain or authority.
-
D.
featuresEnvironmentalPuzzles
Indicates that something includes or involves puzzles that are solved by interacting with or interpreting elements of the surrounding environment.
-
E.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f662d73ac8819084ad24fb84e85f35 |
completed | May 2, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:51 a.m.