Triple
T5230369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnificent Seven (1996 U.S. women's Olympic gymnastics team) |
E118093
|
entity |
| Predicate | teamEventResult |
P8651
|
FINISHED |
| Object | 1st place |
—
|
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: 1st place | Statement: [Magnificent Seven (1996 U.S. women's Olympic gymnastics team), teamEventResult, 1st place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamEventResult Context triple: [Magnificent Seven (1996 U.S. women's Olympic gymnastics team), teamEventResult, 1st place]
-
A.
scoredInEvent
Indicates that an entity achieved a score or result within a specific event or competition.
-
B.
resultOfMatch
Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
-
C.
competitionResult
chosen
Indicates the outcome of a competitive event, specifying how participants placed or performed relative to one another.
-
D.
hostedTeamAchievement
Indicates that an entity organized or hosted an event or context in which a team achieved a particular accomplishment.
-
E.
teamParticipated
Indicates that a team took part in or was involved in a particular event, activity, or 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.