Triple
T3847732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usain Bolt set world records in the 100 m and 200 m sprints |
E85212
|
entity |
| Predicate | typeOfRecord |
P2554
|
FINISHED |
| Object | 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: world record | Statement: [Usain Bolt set world records in the 100 m and 200 m sprints, typeOfRecord, world record]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRecord Context triple: [Usain Bolt set world records in the 100 m and 200 m sprints, typeOfRecord, world record]
-
A.
hasRecordType
chosen
Indicates that an entity is associated with or classified under a specific type or category of record.
-
B.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
recordsType
Indicates that one entity documents, stores, or keeps an official account of a particular type or category of information, event, or item.
-
D.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
-
E.
typeOfNamedThing
Indicates that one entity is the specific type or category to which the named thing belongs.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.