Triple
T37463892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega |
E930985
|
entity |
| Predicate | belongsToCardSetTheme |
P169663
|
FINISHED |
| Object | Boomsday Project science/experiment theme |
—
|
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: Boomsday Project science/experiment theme | Statement: [Omega, belongsToCardSetTheme, Boomsday Project science/experiment theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCardSetTheme Context triple: [Omega, belongsToCardSetTheme, Boomsday Project science/experiment theme]
-
A.
cardSet
Indicates that an item belongs to, or is grouped within, a particular set or collection of cards.
-
B.
cardSetType
Indicates the classification relationship that specifies what type or category a given card set belongs to.
-
C.
hasBasicCardSet
Indicates that an entity is associated with or includes a fundamental or default set of cards.
-
D.
isSupercardOf
Indicates that one card or set of cards fully contains or extends the content, scope, or functionality of another card, making it a more comprehensive or encompassing version.
-
E.
hasThemeRelationship
chosen
Indicates a relationship where one entity is thematically related to, or centered around, another entity as its main subject or topic.
- 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_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:17 p.m.