Triple
T34617900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States U23 women's national soccer team |
E888914
|
entity |
| Predicate | typicalPlayerPool |
P156507
|
FINISHED |
| Object | top collegiate players |
—
|
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: top collegiate players | Statement: [United States U23 women's national soccer team, typicalPlayerPool, top collegiate players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlayerPool Context triple: [United States U23 women's national soccer team, typicalPlayerPool, top collegiate players]
-
A.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
B.
sharesPlayerPoolWith
chosen
Indicates that two entities draw from or are associated with the same group or set of players.
-
C.
typicalAgeRangeOfPlayers
Indicates the usual age range of people who typically play or participate in something.
-
D.
typicalPlayerProfile
Indicates the usual or characteristic attributes, behaviors, or demographics associated with a representative player in a given context.
-
E.
managedPlayers
Indicates that one entity has managerial responsibility or authority over the players represented by the other entity.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:03 a.m.