Triple
T3464081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Nice 1961 |
E73093
|
entity |
| Predicate | totalDistanceUnit |
P6008
|
FINISHED |
| Object | kilometre |
—
|
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: kilometre | Statement: [Paris–Nice 1961, totalDistanceUnit, kilometre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalDistanceUnit Context triple: [Paris–Nice 1961, totalDistanceUnit, kilometre]
-
A.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
B.
typeOfUnit
chosen
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
C.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
D.
convertedUnit
Indicates that one unit is the result of converting a quantity expressed in another unit.
-
E.
range_km
Indicates the maximum distance, measured in kilometers, over which something can operate, travel, or be effective.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0dc100819084bb0c355c7bb15b |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.