Triple
T38007809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Division |
E948280
|
entity |
| Predicate | leagueTierType |
P42313
|
FINISHED |
| Object | lower-tier league |
—
|
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: lower-tier league | Statement: [Second Division, leagueTierType, lower-tier league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTierType Context triple: [Second Division, leagueTierType, lower-tier league]
-
A.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
B.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
C.
tierInLeagueSystem
chosen
Indicates the specific hierarchical level or division an entity occupies within an organized league system.
-
D.
athleticAssociationTier
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
-
E.
associatedLeagueLevel
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.