Triple
T17375964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Europa League 1979–80 |
E422438
|
entity |
| Predicate | includesHomeAndAwayLegs |
P127248
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [UEFA Europa League 1979–80, includesHomeAndAwayLegs, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesHomeAndAwayLegs Context triple: [UEFA Europa League 1979–80, includesHomeAndAwayLegs, yes]
-
A.
hasTourLeg
Indicates that a specific segment or leg is part of, or associated with, a larger tour or journey.
-
B.
includesAirport
Indicates that one entity contains, encompasses, or has within its scope a particular airport.
-
C.
hasCodeShareOrInterline
Indicates that there exists a codeshare or interline agreement relationship between the referenced transportation services or carriers.
-
D.
hasDomesticFlights
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
E.
hasIATAOverlap
Indicates that two entities share at least one overlapping or identical IATA code designation.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.