Triple
T11084169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi State vs. Connecticut (2017 NCAA Women's Final Four) |
E262075
|
entity |
| Predicate | UConnRankEnteringGame |
P97128
|
FINISHED |
| Object | No. 1 |
—
|
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: No. 1 | Statement: [Mississippi State vs. Connecticut (2017 NCAA Women's Final Four), UConnRankEnteringGame, No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UConnRankEnteringGame Context triple: [Mississippi State vs. Connecticut (2017 NCAA Women's Final Four), UConnRankEnteringGame, No. 1]
-
A.
oregonRankingEnteringGame
Indicates the ranking position held by Oregon at the time the game began.
-
B.
oregonStateRankingEnteringGame
Indicates the competitive ranking position held by Oregon State at the time the game began.
-
C.
visitingTeamRecordEnteringGame
Indicates the performance record (such as wins and losses) that the visiting team has accumulated prior to the start of the game.
-
D.
homeTeamRecordEnteringGame
Indicates the win-loss (and possibly tie) record that the home team had prior to the start of the game.
-
E.
TexasA&MRecordEnteringGame
Indicates the win–loss record that Texas A&M’s team had prior to the start of a specific game.
- F. None of above. chosen
Provenance (4 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c0cc3081908448cfb26c08daf5 |
completed | April 9, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.