Triple
T2378923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Isles rugby union team |
E46264
|
entity |
| Predicate | hasWomenTeamPlanning |
P35850
|
FINISHED |
| Object | plans for a British & Irish Lions women’s team announced in 2020s |
—
|
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: plans for a British & Irish Lions women’s team announced in 2020s | Statement: [British Isles rugby union team, hasWomenTeamPlanning, plans for a British & Irish Lions women’s team announced in 2020s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenTeamPlanning Context triple: [British Isles rugby union team, hasWomenTeamPlanning, plans for a British & Irish Lions women’s team announced in 2020s]
-
A.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
hasGenderedTeams
chosen
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.
hasWomenOrganization
Indicates that an entity is associated with, contains, or is part of an organization specifically for women.
-
E.
hadWomenOrganization
Indicates that an entity was associated with or involved in an organization focused on women or women’s issues.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7974aa481908799ef2f854d1c9d |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.