Triple
T37463994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Puzzle Lab |
E930988
|
entity |
| Predicate | hasMechanicFocus |
P23573
|
FINISHED |
| Object | board manipulation 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: board manipulation puzzles | Statement: [The Puzzle Lab, hasMechanicFocus, board manipulation puzzles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMechanicFocus Context triple: [The Puzzle Lab, hasMechanicFocus, board manipulation puzzles]
-
A.
hasMechanicalFeature
Indicates that one entity possesses, includes, or is characterized by a specific mechanical component, attribute, or functionality.
-
B.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
C.
associatedWithMechanic
chosen
Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
-
D.
mechanicalExpertise
Indicates that one entity possesses specialized knowledge or skill in understanding, operating, or repairing mechanical systems or devices in relation to another entity or context.
-
E.
changesMechanic
Indicates that one entity alters, replaces, or modifies the underlying rules, systems, or mechanics governing another entity or process.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 3, 2026, 4:17 p.m.