Triple
T24687115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Rossi |
E611326
|
entity |
| Predicate | hasWonGoldAt |
P44482
|
FINISHED |
| Object | 2000 Summer Olympics |
—
|
NE NERFINISHED |
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: 2000 Summer Olympics | Statement: [Antonio Rossi, hasWonGoldAt, 2000 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonGoldAt Context triple: [Antonio Rossi, hasWonGoldAt, 2000 Summer Olympics]
-
A.
wonMedalAt
chosen
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
oneOfMultipleGoldsFor
Indicates that the subject is one option among multiple possible gold-standard counterparts for the given object.
-
C.
trophyWonWith
Indicates that a particular trophy or award was achieved using, through, or in association with a specified means, tool, team, or context.
-
D.
editionOfCompetitionWon
Indicates that an entity has won a specific edition or instance of a competition.
-
E.
bearerAlsoWon
Indicates that the bearer of something (e.g., a title, award, or object) also won another specified competition, prize, or distinction.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 3:19 a.m.