Triple
T6614625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish football league system |
E149317
|
entity |
| Predicate | hasReserveTeamLeagues |
P71523
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Spanish football league system, hasReserveTeamLeagues, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReserveTeamLeagues Context triple: [Spanish football league system, hasReserveTeamLeagues, true]
-
A.
hasReserveTeam
Indicates that an organization, typically a sports club, maintains a secondary or backup team formally associated with its main team.
-
B.
leagueOwned
Indicates that a league has ownership or controlling rights over the referenced entity.
-
C.
managedTeamLeague
Indicates that a person or organization had managerial responsibility for a team participating in a particular league.
-
D.
hasHomeCountryLeague
Indicates that an entity (typically a sports team or player) is associated with a specific league that operates in its home country.
-
E.
leagueAffiliationThroughOwnedTeam
Indicates that an entity is affiliated with a league by virtue of owning a team that participates in that league.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6bdb76ec48190b59d576170970cc9 |
completed | March 27, 2026, 5:26 p.m. |
Created at: March 27, 2026, 1:57 p.m.