Triple
T24578843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 × 400 metres relay |
E608189
|
entity |
| Predicate | firstOlympicAppearanceWomen |
P5828
|
FINISHED |
| Object | 1972 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: 1972 Summer Olympics | Statement: [4 × 400 metres relay, firstOlympicAppearanceWomen, 1972 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOlympicAppearanceWomen Context triple: [4 × 400 metres relay, firstOlympicAppearanceWomen, 1972 Summer Olympics]
-
A.
firstAppearedInOlympics
Indicates the event or entity in which something made its debut appearance at the Olympic Games.
-
B.
introducedToOlympicsBy
Indicates that one entity was responsible for bringing or presenting another entity into the context of the Olympic Games for the first time.
-
C.
olympicDebut
chosen
Indicates the event or year in which an entity first participated in the Olympic Games.
-
D.
OlympicAppearanceYear
Indicates the specific year in which an entity participated in or appeared at the Olympic Games.
-
E.
firstOlympicsInCountry
Indicates that the referenced Olympic Games were the first edition ever hosted in the specified country.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97cd0d4819091bf0841fa8e108a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.