Triple
T13571865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobblers |
E324181
|
entity |
| Predicate | hasAthleticTeamsOfType |
P102404
|
FINISHED |
| Object | boys teams |
—
|
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: boys teams | Statement: [Cobblers, hasAthleticTeamsOfType, boys teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAthleticTeamsOfType Context triple: [Cobblers, hasAthleticTeamsOfType, boys teams]
-
A.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
B.
hasAthleticProgramType
Indicates that an institution’s athletic program belongs to or is classified under a specific type or category of athletic program.
-
C.
hasMajorSportsTeam
Indicates that a location is home to at least one prominent, officially recognized sports team, typically in a major professional or collegiate league.
-
D.
hasVarsityTeams
chosen
Indicates that an institution fields official varsity-level sports teams.
-
E.
hasNationalSportTeam
Indicates that an entity possesses or is represented by an official national-level sports 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0106cb48190b20eb9bda131a68a |
completed | April 12, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.