Triple
T22874788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatia vs Scotland (UEFA Euro 2020 Group D) |
E567293
|
entity |
| Predicate | playedBehindClosedDoors |
P150074
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Croatia vs Scotland (UEFA Euro 2020 Group D), playedBehindClosedDoors, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedBehindClosedDoors Context triple: [Croatia vs Scotland (UEFA Euro 2020 Group D), playedBehindClosedDoors, false]
-
A.
meetsBehindClosedDoors
Indicates that one entity meets with another in a private, non-public setting where others are excluded from the interaction.
-
B.
inningsPlayed
Indicates the number of innings in which an entity (typically a player or team) has participated during a game or season.
-
C.
hasNumberOfFalseDoors
Indicates that an entity is associated with a specific count of false doors (door-like architectural features that do not function as actual entrances or exits).
-
D.
exploresBehindTheScenesOf
Indicates that an entity investigates and reveals the inner workings, hidden processes, or off-camera aspects of another entity.
-
E.
playedAfter
Indicates that one event, performance, or action occurred later in time than another.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f57a1ec8190b8c6a0080d97a2a2 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:39 p.m.