Triple
T19996991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Cavaliers men's tennis |
E494218
|
entity |
| Predicate | hasWonITANationalTeamIndoorChampionship |
P72612
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Virginia Cavaliers men's tennis, hasWonITANationalTeamIndoorChampionship, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonITANationalTeamIndoorChampionship Context triple: [Virginia Cavaliers men's tennis, hasWonITANationalTeamIndoorChampionship, 2008]
-
A.
nationalTeamChampionships
Indicates the number of championship titles an entity has won at the national team level.
-
B.
includesNationalTeam
Indicates that an entity’s composition or membership list contains a specified national team.
-
C.
wasNationalChampionship
Indicates that an entity held the title of national champion in a specified competition, sport, or event.
-
D.
hasTeamsChampionship
chosen
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
E.
hasReachedNationalChampionshipGame
Indicates that an entity has advanced to and participated in the final game of a national championship competition.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe549108190947a4d1a587c08f8 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.