Triple
T36468685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teichmüller metric |
E898485
|
entity |
| Predicate | distanceBetweenPointsRepresents |
P27195
|
FINISHED |
| Object | logarithm of minimal quasiconformal dilatation |
—
|
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: logarithm of minimal quasiconformal dilatation | Statement: [Teichmüller metric, distanceBetweenPointsRepresents, logarithm of minimal quasiconformal dilatation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceBetweenPointsRepresents Context triple: [Teichmüller metric, distanceBetweenPointsRepresents, logarithm of minimal quasiconformal dilatation]
-
A.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
B.
distanceBetweenParallels
Indicates the perpendicular distance separating two parallel lines or planes.
-
C.
pointDifference
Indicates the numerical difference in points or scores between two compared entities.
-
D.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
distanceMetric
chosen
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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.