Triple
T4043868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ioannis Georgiadis |
E84015
|
entity |
| Predicate | competedInEvent |
P149
|
FINISHED |
| Object | men's sabre at the 1896 Summer Olympics |
—
|
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: men's sabre at the 1896 Summer Olympics | Statement: [Ioannis Georgiadis, competedInEvent, men's sabre at the 1896 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competedInEvent Context triple: [Ioannis Georgiadis, competedInEvent, men's sabre at the 1896 Summer Olympics]
-
A.
competedAs
Indicates that an entity participated in a competition or contest in the role, category, or capacity specified by another entity.
-
B.
competedInDiscipline
Indicates that an entity took part in a competition or event within a specific discipline or category.
-
C.
participatedInEvent
chosen
Indicates that an entity took part in or was actively involved in a specific event.
-
D.
competedFor
Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
-
E.
competeIn
Indicates that an entity takes part as a contender in a particular event, activity, or domain where performance is compared against others.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5d759c8190b61fbbe94ffe2bf7 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.