Triple
T1343472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviva Stadium |
E28516
|
entity |
| Predicate | UEFAStadiumCategory |
P27387
|
FINISHED |
| Object | Category 4 |
—
|
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: Category 4 | Statement: [Aviva Stadium, UEFAStadiumCategory, Category 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFAStadiumCategory Context triple: [Aviva Stadium, UEFAStadiumCategory, Category 4]
-
A.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
-
B.
mainStadium
Indicates that a particular stadium serves as the primary or home stadium associated with an entity (such as a team, club, or organization).
-
C.
notableStadium
Indicates that an entity is a stadium that is particularly prominent, famous, or significant in some notable way.
-
D.
containsStadium
Indicates that a location or area includes a stadium within its boundaries or premises.
-
E.
sharesStadiumWith
Indicates that two teams or organizations use the same stadium as their home or primary venue.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23b8a9081908b78405d4ef806af |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:56 p.m.