Triple
T15134254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room 25 |
E361510
|
entity |
| Predicate | boardGameGeekCategory |
P117448
|
FINISHED |
| Object | Science Fiction |
—
|
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: Science Fiction | Statement: [Room 25, boardGameGeekCategory, Science Fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardGameGeekCategory Context triple: [Room 25, boardGameGeekCategory, Science Fiction]
-
A.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
B.
trophyCategory
Indicates the classification or type of award or trophy that an entity is associated with.
-
C.
clubGamesFor
Indicates a relationship where a player participates in games on behalf of a specific club.
-
D.
cardGameAssociatedWith
Indicates that there is a relationship of association between a card game and another entity, such as a person, place, event, or concept.
-
E.
boardName
Indicates the name or title assigned to a specific board within a system or context.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:06 a.m.