Triple
T13662890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayl |
E327042
|
entity |
| Predicate | roadDistanceToCapital |
P10889
|
FINISHED |
| Object | approximately 20 km southwest of Luxembourg City |
—
|
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: approximately 20 km southwest of Luxembourg City | Statement: [Kayl, roadDistanceToCapital, approximately 20 km southwest of Luxembourg City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToCapital Context triple: [Kayl, roadDistanceToCapital, approximately 20 km southwest of Luxembourg City]
-
A.
distanceFromCapital
chosen
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
B.
distanceToDepartmentCapital
Indicates the measured distance between a given location and the capital city of its corresponding department.
-
C.
distanceToNomeByRoad
Indicates the road travel distance between a given place and the city of Nome.
-
D.
regionCapitalDistanceRelation
Indicates a relationship specifying the distance between a region and its capital.
-
E.
prefectureCapitalDistance
Indicates the distance between a prefecture and its designated capital city.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.