Triple
T32470822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krisztina Egerszegi |
E829842
|
entity |
| Predicate | heldWorldRecordLongTerm |
P66021
|
FINISHED |
| Object | 200 m backstroke |
—
|
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: 200 m backstroke | Statement: [Krisztina Egerszegi, heldWorldRecordLongTerm, 200 m backstroke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldWorldRecordLongTerm Context triple: [Krisztina Egerszegi, heldWorldRecordLongTerm, 200 m backstroke]
-
A.
heldLongestSpanRecordUntil
Indicates that one entity held the record for the longest continuous span of time in some domain or metric, up until a specified endpoint or event.
-
B.
heldLongestSpanRecordFrom
Indicates that one entity held a particular record for the longest continuous time span starting from another specified entity’s tenure.
-
C.
heldWorldRecordTime
chosen
Indicates that an entity achieved and maintained the fastest known performance time in a specific event or activity, recognized as the official world record for a period.
-
D.
previouslyWorldsLongest
Indicates that an entity once held the record for being the longest in the world, but no longer does.
-
E.
longDistanceRecordTime
Indicates the time value associated with a long-distance record performance or achievement.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c355c35c819091b633137f54c14a |
completed | May 3, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:57 a.m.