Triple
T22036743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Labyrinth Mirror Maze |
E544228
|
entity |
| Predicate | goalOfVisitors |
P64674
|
FINISHED |
| Object | find exit of maze |
—
|
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: find exit of maze | Statement: [Crystal Labyrinth Mirror Maze, goalOfVisitors, find exit of maze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfVisitors Context triple: [Crystal Labyrinth Mirror Maze, goalOfVisitors, find exit of maze]
-
A.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
goalOfPilgrimage
Indicates that the object represents the spiritual, religious, or personal objective that motivates the subject’s pilgrimage.
-
C.
goalsFor
Indicates the number of goals scored by one participant or team in favor of a particular side or match context.
-
D.
goalOfCity
Indicates that a particular objective, purpose, or target is associated with or pursued by a given city.
-
E.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f1f95c8190a324c84313cd91ee |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.