Triple
T19327888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | p-adic numbers |
E483405
|
entity |
| Predicate | distanceMeasures |
P17802
|
FINISHED |
| Object | divisibility by p rather than size |
—
|
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: divisibility by p rather than size | Statement: [p-adic numbers, distanceMeasures, divisibility by p rather than size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceMeasures Context triple: [p-adic numbers, distanceMeasures, divisibility by p rather than size]
-
A.
distanceMetric
Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
-
B.
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).
-
C.
distanceMeasurementMethod
Indicates the method or technique used to determine or measure the distance between entities.
-
D.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163f32f48190be17cccf4e537372 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:33 p.m.