Triple
T19865826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumqayit |
E477385
|
entity |
| Predicate | hasSportTeamType |
P127337
|
FINISHED |
| Object | football club |
—
|
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: football club | Statement: [Sumqayit, hasSportTeamType, football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportTeamType Context triple: [Sumqayit, hasSportTeamType, football club]
-
A.
hasAthleticTeamType
chosen
Indicates that an entity’s athletic team participates in or is classified under a specific type or category of sport or competition.
-
B.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
C.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
D.
sportsDisciplineOfTeamOwned
Indicates that a particular sports discipline is the one in which a given owned team competes or operates.
-
E.
sportOfReferencedTeam
Indicates that the subject is the sport played by, or associated with, the referenced team.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589eb24081908715b683de1edc68 |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.