Triple
T5570715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat point |
E146192
|
entity |
| Predicate | distanceProperty |
P17802
|
FINISHED |
| Object | sum of distances from Fermat point to vertices is minimal among all points in the plane |
—
|
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: sum of distances from Fermat point to vertices is minimal among all points in the plane | Statement: [Fermat point, distanceProperty, sum of distances from Fermat point to vertices is minimal among all points in the plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceProperty Context triple: [Fermat point, distanceProperty, sum of distances from Fermat point to vertices is minimal among all points in the plane]
-
A.
distanceCharacteristic
chosen
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
B.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
C.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
D.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
E.
distanceMetric
Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.