Triple
T11559223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Fire (WFL) |
E274091
|
entity |
| Predicate | playedOutdoorGames |
P10057
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chicago Fire (WFL), playedOutdoorGames, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedOutdoorGames Context triple: [Chicago Fire (WFL), playedOutdoorGames, true]
-
A.
playsOutdoor
chosen
Indicates that an entity engages in an activity or game in an outdoor environment.
-
B.
featuredOutdoorGame
Indicates that an entity has been highlighted or selected as a notable or primary outdoor game in a given context.
-
C.
homeGamesPlayedBy
Indicates the number or set of home games that are played by a particular team or player.
-
D.
homeGamesPlayedOn
Indicates that the specified home team plays its home games on the given date, day, or at the specified venue.
-
E.
traditionalGame
Indicates that the relationship involves playing, practicing, or being associated with a game that is rooted in longstanding cultural or historical traditions.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a899d4481909a3bce3147763b51 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.