Triple
T12833363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 MLB All-Star Game |
E306841
|
entity |
| Predicate | tieScore |
P15617
|
FINISHED |
| Object | 7–7 |
—
|
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: 7–7 | Statement: [2002 MLB All-Star Game, tieScore, 7–7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieScore Context triple: [2002 MLB All-Star Game, tieScore, 7–7]
-
A.
tiebreaker
Indicates that one entity serves as the deciding factor used to break a tie between two or more otherwise equal options or outcomes.
-
B.
isScoreFor
chosen
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
C.
clinchingScore
Indicates the score or point threshold at which a participant secures a decisive or unassailable victory in a competition or contest.
-
D.
tieForFirstPlace
Indicates that two or more competitors share the highest rank or score, resulting in no single clear winner.
-
E.
tieToRankings
Indicates a relationship where something is linked or associated with a specific set of rankings or a ranking system.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:34 p.m.