Triple
T37458236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild |
E930852
|
entity |
| Predicate | usesCardPool |
P197010
|
FINISHED |
| Object | larger than Standard |
—
|
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: larger than Standard | Statement: [Wild, usesCardPool, larger than Standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCardPool Context triple: [Wild, usesCardPool, larger than Standard]
-
A.
usesCard
Indicates that an entity employs or relies on a specific card (e.g., payment, access, or identification card) to perform an action or participate in an interaction.
-
B.
usesJokers
Indicates that an entity employs or incorporates jokers as part of its activity, strategy, or operation.
-
C.
hasPartyDeck
Indicates that something includes or is equipped with a designated deck or area intended for parties or social gatherings.
-
D.
containsCard
Indicates that one entity includes or holds a specific card as part of its contents or collection.
-
E.
hasNumberOfCards
Indicates that an entity is associated with a specific quantity of cards.
- F. None of above. chosen
Provenance (4 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_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: May 3, 2026, 4:17 p.m.