Triple
T25117287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ireland national rugby sevens team |
E629161
|
entity |
| Predicate | hasWomenSide |
P1613
|
FINISHED |
| Object | Ireland women's national rugby sevens team |
—
|
NE NERFINISHED |
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: Ireland women's national rugby sevens team | Statement: [Ireland national rugby sevens team, hasWomenSide, Ireland women's national rugby sevens team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenSide Context triple: [Ireland national rugby sevens team, hasWomenSide, Ireland women's national rugby sevens team]
-
A.
hasFemaleEquivalent
chosen
Indicates that one entity serves as the female counterpart or equivalent of another entity.
-
B.
hasSideArch
Indicates that one entity possesses or features a secondary or lateral arch structure in relation to another entity.
-
C.
hasWomenTeamPlan
Indicates that an entity offers or is associated with a specific plan or program designed for women’s teams.
-
D.
hasBside
Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
-
E.
hasWomenSeries
Indicates that an entity is associated with or includes a series specifically for women.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 18, 2026, 6:27 a.m.