Triple
T5528637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnstone's Paint Trophy |
E144989
|
entity |
| Predicate | tierOfGame |
P65276
|
FINISHED |
| Object | professional football |
—
|
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: professional football | Statement: [Johnstone's Paint Trophy, tierOfGame, professional football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierOfGame Context triple: [Johnstone's Paint Trophy, tierOfGame, professional football]
-
A.
tierInLeagueSystem
Indicates the specific hierarchical level or division an entity occupies within an organized league system.
-
B.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
C.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
D.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
E.
partOfTier
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8b6c348190b7d414dc1907d09a |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:34 p.m.