Triple
T5164285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inter Miami CF |
E116511
|
entity |
| Predicate | hasWomenTeamPlan |
P61881
|
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: [Inter Miami CF, hasWomenTeamPlan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenTeamPlan Context triple: [Inter Miami CF, hasWomenTeamPlan, true]
-
A.
hasMenTeam
Indicates that an entity possesses, is associated with, or fields a men’s team.
-
B.
hasGenderedTeams
Indicates that the entity organizes or participates in teams that are separated or defined based on gender.
-
C.
hasGenderedTeam
Indicates that a team is organized or classified according to the gender of its members.
-
D.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
E.
hasWomenOrganization
Indicates that an entity is associated with, contains, or is part of an organization specifically for women.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:44 p.m.