Triple
T583595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Indurain |
E15108
|
entity |
| Predicate | WorldHourRecordDistance |
P12162
|
FINISHED |
| Object | 53.040 km |
—
|
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: 53.040 km | Statement: [Miguel Indurain, WorldHourRecordDistance, 53.040 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldHourRecordDistance Context triple: [Miguel Indurain, WorldHourRecordDistance, 53.040 km]
-
A.
wasWorldRecordFor
chosen
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.
-
B.
worldAthleticsLabel
Indicates that an entity is identified by a specific label or designation as defined by World Athletics.
-
C.
isMostDistantHumanMadeObject
Indicates that the subject is the human-made object currently farthest from Earth (or from its point of origin).
-
D.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.