Triple
T14784748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zola Budd |
E347485
|
entity |
| Predicate | worldRecordType |
P116095
|
FINISHED |
| Object | women's 5000 metres track world record |
—
|
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: women's 5000 metres track world record | Statement: [Zola Budd, worldRecordType, women's 5000 metres track world record]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecordType Context triple: [Zola Budd, worldRecordType, women's 5000 metres track world record]
-
A.
worldRecordSet
Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
-
B.
worldRecordTime
Indicates that an entity’s recorded time for an event is the fastest ever achieved globally, i.e., the official world record time for that event.
-
C.
worldRecordCount
Indicates the number of world records associated with a given entity.
-
D.
worldRecordsHeld
Indicates that an entity holds or has achieved one or more officially recognized world records.
-
E.
worldRecordMaintainedBy
Indicates that a particular world record is currently held or overseen by a specific entity (such as a person or organization).
- F. None of above. chosen
Provenance (4 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90c5e3a08190868680b081308c1d |
completed | April 14, 2026, 7:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.