Triple
T5623591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Las Vegas |
E147665
|
entity |
| Predicate | hasGaming |
P20883
|
FINISHED |
| Object | table games |
—
|
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: table games | Statement: [Paris Las Vegas, hasGaming, table games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGaming Context triple: [Paris Las Vegas, hasGaming, table games]
-
A.
hasGamesAt
chosen
Indicates that a particular location, venue, or platform hosts or offers one or more games.
-
B.
homeGamesOf
Indicates that the subject is a home game (or set of home games) played by the specified team or entity.
-
C.
games
Indicates that one entity participates in, is associated with, or is characterized by playing or engaging in games with another entity.
-
D.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
E.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02214b4948190b71a9f59499092f6 |
completed | March 22, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.