Triple
T25407394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | men's discus throw at the 1952 Summer Olympics |
E636595
|
entity |
| Predicate | winningDistance |
P158484
|
FINISHED |
| Object | 180 ft 6 in |
—
|
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: 180 ft 6 in | Statement: [men's discus throw at the 1952 Summer Olympics, winningDistance, 180 ft 6 in]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningDistance Context triple: [men's discus throw at the 1952 Summer Olympics, winningDistance, 180 ft 6 in]
-
A.
winningDistance
chosen
Indicates the margin or amount by which a competitor or participant wins over others in a contest or event.
-
B.
winnerLane
Indicates that a particular lane is the one in which the winner of a race or competition is located.
-
C.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
D.
distancePerRace
Indicates the total distance covered in a single race event or instance.
-
E.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5b00b10308190a7029652f6921e5d |
completed | May 2, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:52 p.m.