Triple
T19970995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgium at the Olympic Games |
E480072
|
entity |
| Predicate | firstSummerOlympicsParticipation |
P15214
|
FINISHED |
| Object | 1900 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: 1900 Summer Olympics | Statement: [Belgium at the Olympic Games, firstSummerOlympicsParticipation, 1900 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSummerOlympicsParticipation Context triple: [Belgium at the Olympic Games, firstSummerOlympicsParticipation, 1900 Summer Olympics]
-
A.
firstSummerGamesYear
Indicates the calendar year in which an entity first participated in or hosted the Summer Olympic Games.
-
B.
firstOlympicsInCountry
Indicates that the referenced Olympic Games were the first edition ever hosted in the specified country.
-
C.
introducedToOlympicsBy
Indicates that one entity was responsible for bringing or presenting another entity into the context of the Olympic Games for the first time.
-
D.
firstAppearedInOlympics
chosen
Indicates the event or entity in which something made its debut appearance at the Olympic Games.
-
E.
OlympicAppearanceYear
Indicates the specific year in which an entity participated in or appeared at the Olympic Games.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.