Triple
T20920967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | men's high jump at the 1936 Summer Olympics |
E515205
|
entity |
| Predicate | winningHeight |
P118837
|
FINISHED |
| Object | 2.03 m |
—
|
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: 2.03 m | Statement: [men's high jump at the 1936 Summer Olympics, winningHeight, 2.03 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningHeight Context triple: [men's high jump at the 1936 Summer Olympics, winningHeight, 2.03 m]
-
A.
winnerHeight
chosen
Indicates that one entity is the height measurement of the winner in a given competition or event.
-
B.
goalHeight
Indicates the target or desired height that something is intended or planned to reach.
-
C.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative context.
-
D.
trophyHeight
Indicates the height measurement associated with a trophy.
-
E.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64e56bc81908aa86f2176fcc0db |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.