Triple
T11045459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quad Series |
E261124
|
entity |
| Predicate | includesTopRankedTeams |
P97463
|
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: [Quad Series, includesTopRankedTeams, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTopRankedTeams Context triple: [Quad Series, includesTopRankedTeams, true]
-
A.
topTeam
Indicates that the referenced team is ranked as the best or leading team within a given group, competition, or context.
-
B.
excludesTopTierTeams
Indicates that the action or rule omits or disallows participation by the highest-ranked or most elite teams.
-
C.
hadTeamsRankedIn
Indicates that an entity (such as a person, organization, or ranking body) assigned or held teams at specific positions within a ranking during a particular period or event.
-
D.
eligibleTeamsFrom
Indicates that certain teams qualify or are allowed to originate from a specified source, context, or selection criteria.
-
E.
typicalNumberOfTopDivisionTeams
Indicates the usual or standard number of teams that compete in the highest-level division of a league or competition.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982f7e688190b3f0c249cd9b1a3e |
completed | April 9, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.