Triple
T24902972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis Cup ties |
E623628
|
entity |
| Predicate | participantsPerTeam |
P89523
|
FINISHED |
| Object | multiple players per nation |
—
|
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: multiple players per nation | Statement: [Davis Cup ties, participantsPerTeam, multiple players per nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantsPerTeam Context triple: [Davis Cup ties, participantsPerTeam, multiple players per nation]
-
A.
numberOfPlayersPerTeam
chosen
Indicates the quantity of players that are assigned to or allowed on each team in a given context.
-
B.
originalPlayersPerTeam
Indicates the number of players that each team initially had at the start of a game or season.
-
C.
playersPerMatch
Indicates the number of players that participate in a single match.
-
D.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
E.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 5:27 a.m.