Triple
T618957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuelta a España |
E14467
|
entity |
| Predicate | approximateDistancePerEdition |
P16710
|
FINISHED |
| Object | 3000 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: 3000 km | Statement: [Vuelta a España, approximateDistancePerEdition, 3000 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistancePerEdition Context triple: [Vuelta a España, approximateDistancePerEdition, 3000 km]
-
A.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
B.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
C.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
D.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e25956c8190a1eed87002548658 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfd15288190b4abdbd0bce3edcd |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49d76062c819083ac33f1f87097c7 |
completed | March 1, 2026, 8:11 p.m. |
Created at: March 1, 2026, 7:35 p.m.