Triple
T2219014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York–Paris |
E48096
|
entity |
| Predicate | hasApproximateGreatCircleDistance |
P22795
|
FINISHED |
| Object | 5840 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: 5840 km | Statement: [New York–Paris, hasApproximateGreatCircleDistance, 5840 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateGreatCircleDistance Context triple: [New York–Paris, hasApproximateGreatCircleDistance, 5840 km]
-
A.
hasApproximateDistanceFromEquator
Indicates that one entity has an approximate measured or estimated distance from the Earth's equator.
-
B.
hasApproximateDistanceScale
Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
-
C.
hasApproximateCoordinates
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
D.
approximateDistanceKm
chosen
Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
-
E.
hasApproximateLocation
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc011d50c8190b1c375cc633f8189 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.