Triple
T37462595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrantus |
E930954
|
entity |
| Predicate | hasCardSetTheme |
P187881
|
FINISHED |
| Object | Un'Goro Crater and dinosaurs |
—
|
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: Un'Goro Crater and dinosaurs | Statement: [Tyrantus, hasCardSetTheme, Un'Goro Crater and dinosaurs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCardSetTheme Context triple: [Tyrantus, hasCardSetTheme, Un'Goro Crater and dinosaurs]
-
A.
hasBasicCardSet
Indicates that an entity is associated with or includes a fundamental or default set of cards.
-
B.
cardSetType
Indicates the classification relationship that specifies what type or category a given card set belongs to.
-
C.
cardSet
chosen
Indicates that an item belongs to, or is grouped within, a particular set or collection of cards.
-
D.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
E.
hasMythicTheme
Indicates that something embodies, references, or is characterized by a mythic or mythological theme.
- 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_6a000fda03948190881b7275f249768f |
completed | May 10, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_6a000f607f1881908ee750d58da91690 |
completed | May 10, 2026, 4:53 a.m. |
Created at: May 3, 2026, 4:17 p.m.