Triple
T30406020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA men's basketball national championship (with Maryland, 2002) |
E773479
|
entity |
| Predicate | JuanDixonPointsInTitleGame |
P169177
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [NCAA men's basketball national championship (with Maryland, 2002), JuanDixonPointsInTitleGame, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JuanDixonPointsInTitleGame Context triple: [NCAA men's basketball national championship (with Maryland, 2002), JuanDixonPointsInTitleGame, 18]
-
A.
timDuncanPointsGame1
Indicates the number of points that Tim Duncan scored in Game 1 of a particular series or matchup.
-
B.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
-
C.
Game 6 MagicJohnsonRebounds
Indicates the number of rebounds Magic Johnson recorded in Game 6 of a particular series or season.
-
D.
TimDuncanPoints
Indicates the number of points scored by Tim Duncan in a game or over a specified period.
-
E.
BullsKeyPlayer
Indicates that the specified player is a primary or especially important player for the Chicago Bulls team.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6861f3dcc8190992842a0d87b041d |
completed | May 2, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:03 p.m.