Triple
T564813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Anquetil |
E13529
|
entity |
| Predicate | hourRecordDistance |
P16250
|
FINISHED |
| Object | 46.159 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: 46.159 km | Statement: [Jacques Anquetil, hourRecordDistance, 46.159 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hourRecordDistance Context triple: [Jacques Anquetil, hourRecordDistance, 46.159 km]
-
A.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
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.
trackGauge
Indicates the distance between the inner faces of the rails in a railway track system.
-
D.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
E.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498ff0c0081908947376a38b10d72 |
completed | March 1, 2026, 7:52 p.m. |
Created at: March 1, 2026, 7:32 p.m.