Triple
T37462330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open the Waygate |
E930947
|
entity |
| Predicate | hasCardFrameEffect |
P175674
|
FINISHED |
| Object | Quest frame |
—
|
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: Quest frame | Statement: [Open the Waygate, hasCardFrameEffect, Quest frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCardFrameEffect Context triple: [Open the Waygate, hasCardFrameEffect, Quest frame]
-
A.
hasFrameEffect
chosen
Indicates that one entity produces or is associated with a visual or stylistic frame-related effect on another entity.
-
B.
cardEffect
Indicates that one card produces a specific effect or outcome on another entity or the game state.
-
C.
cardEffectTarget
Indicates that a particular effect of a card is directed toward or applied to a specified target.
-
D.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
-
E.
hasCardBack
Indicates that an entity possesses or is associated with a specific card back design or reverse side.
- 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_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:17 p.m.