Triple
T11467846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4×100 metre freestyle relay |
E271822
|
entity |
| Predicate | olympicEventSince |
P15214
|
FINISHED |
| Object | men: 1964 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: 1964 Summer Olympics | Statement: [4×100 metre freestyle relay, olympicEventSince, men: 1964 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicEventSince Context triple: [4×100 metre freestyle relay, olympicEventSince, men: 1964 Summer Olympics]
-
A.
olympicOpeningDate
Indicates the calendar date on which a specific edition of the Olympic Games officially begins with its opening ceremony.
-
B.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
C.
firstAppearedInOlympics
chosen
Indicates the event or entity in which something made its debut appearance at the Olympic Games.
-
D.
OlympicAppearanceYear
Indicates the specific year in which an entity participated in or appeared at the Olympic Games.
-
E.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.