Triple
T2104450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johns Hopkins Blue Jays |
E37159
|
entity |
| Predicate | hasGenderedTeams |
P35850
|
FINISHED |
| Object | men's 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: men's teams | Statement: [Johns Hopkins Blue Jays, hasGenderedTeams, men's teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderedTeams Context triple: [Johns Hopkins Blue Jays, hasGenderedTeams, men's teams]
-
A.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
hasGenderSystem
Indicates that an entity employs or is characterized by a particular system for categorizing gender.
-
C.
hasIndependentTeams
Indicates that an entity possesses or is associated with teams that operate autonomously from other teams or central control.
-
D.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
hasFemaleEquivalent
Indicates that one entity serves as the female counterpart or equivalent of another entity.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabf7cdc81909636dff34badc1c5 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb9ce3ff08190a9501f8bb821c01c |
completed | March 7, 2026, 5:38 a.m. |
Created at: March 4, 2026, 7:43 p.m.