Triple
T19437264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champions role-playing game franchise |
E486253
|
entity |
| Predicate | tabletopFormat |
P102437
|
FINISHED |
| Object | pen-and-paper |
—
|
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: pen-and-paper | Statement: [Champions role-playing game franchise, tabletopFormat, pen-and-paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tabletopFormat Context triple: [Champions role-playing game franchise, tabletopFormat, pen-and-paper]
-
A.
supportsTabletopMode
Indicates that an object, device, or system is capable of operating in or providing a tabletop mode of use.
-
B.
סוג לוח
Indicates a relationship specifying the type or category of a board (e.g., board format, board kind, or board classification) associated with an entity.
-
C.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
D.
מאפיין לוח
Indicates a relationship where something serves as a characteristic, property, or defining feature of a board.
-
E.
tableType
Indicates the specific category or kind of table that an entity is classified as.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633618c2881908f3d2a9cabb02289 |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.