Triple
T13252519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup for Women |
E315567
|
entity |
| Predicate | cupStatus |
P40472
|
FINISHED |
| Object | national women's domestic cup in the United States |
—
|
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: national women's domestic cup in the United States | Statement: [U.S. Open Cup for Women, cupStatus, national women's domestic cup in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupStatus Context triple: [U.S. Open Cup for Women, cupStatus, national women's domestic cup in the United States]
-
A.
numberOfCups
Indicates the quantity of cups associated with a given entity or context.
-
B.
cupWonWith
Indicates that a particular cup or tournament victory was achieved using or in association with a specified entity (such as a team, player, or equipment).
-
C.
typeOfCup
chosen
Indicates the specific kind or category of cup that an entity is associated with or classified as.
-
D.
domesticCup
Indicates that an entity has won or participated in a domestic (national-level) cup competition within its sport or domain.
-
E.
hasCupConnection
Indicates that there is a functional or physical connection involving a cup between the related entities.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:24 p.m.