Triple
T25432900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurwitz theorem |
E637304
|
entity |
| Predicate | boundIs |
P158832
|
FINISHED |
| Object | 1/(sqrt(5) q^2) |
—
|
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: 1/(sqrt(5) q^2) | Statement: [Hurwitz theorem, boundIs, 1/(sqrt(5) q^2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boundIs Context triple: [Hurwitz theorem, boundIs, 1/(sqrt(5) q^2)]
-
A.
boundFor
Indicates that something is destined, directed, or scheduled to go toward a particular destination or target.
-
B.
binding
Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
-
C.
boundEntity
Indicates that one entity is constrained, tied, or otherwise held in a fixed relationship or dependency to another entity.
-
D.
bindingFor
Indicates that one entity serves as the binding, constraint, or linkage mechanism that determines how another entity is associated, applied, or made effective.
-
E.
oftenBoundIn
Indicates that one entity is frequently enclosed, packaged, or contained within another entity.
- F. None of above. chosen
Provenance (4 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6dc7d088190b1e4c191172ea256 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 1:58 p.m.