Triple
T1830556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paavo Nurmi |
E40751
|
entity |
| Predicate | setWorldRecordsIn |
P34274
|
FINISHED |
| Object | 1500 metres |
—
|
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: 1500 metres | Statement: [Paavo Nurmi, setWorldRecordsIn, 1500 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setWorldRecordsIn Context triple: [Paavo Nurmi, setWorldRecordsIn, 1500 metres]
-
A.
setWorldRecordCount
Indicates the number of times an entity has achieved or set a world record.
-
B.
wasWorldRecordFor
Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
-
C.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
D.
brokeRecordOf
Indicates that one entity has surpassed or exceeded a previous performance or achievement previously held by another entity.
-
E.
worldAthleticsLabel
Indicates that an entity is identified by a specific label or designation as defined by World Athletics.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb4517f9c8190a5d9bc965a4f29c9 |
completed | March 7, 2026, 5:14 a.m. |
Created at: March 4, 2026, 7:32 p.m.