Triple
T27750530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Spades |
E702101
|
entity |
| Predicate | primaryTrumpSuit |
P55012
|
FINISHED |
| Object | spades |
—
|
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: spades | Statement: [Internet Spades, primaryTrumpSuit, spades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTrumpSuit Context triple: [Internet Spades, primaryTrumpSuit, spades]
-
A.
hasCardSuit
Indicates that an entity (such as a playing card) is associated with a particular suit (e.g., hearts, diamonds, clubs, spades).
-
B.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
C.
typeOfAce
Indicates that one entity is classified as a specific type or category of ace (e.g., a particular kind of "ace" within a broader group).
-
D.
primaryFor
chosen
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
E.
suitType
Indicates the specific category or style of suit associated with an entity (e.g., business suit, spacesuit, wetsuit).
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: April 27, 2026, 4:19 p.m.