Triple
T18495162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy space |
E451925
|
entity |
| Predicate | hasBoundaryValues |
P131885
|
FINISHED |
| Object | non-tangential limits almost everywhere |
—
|
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: non-tangential limits almost everywhere | Statement: [Hardy space, hasBoundaryValues, non-tangential limits almost everywhere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoundaryValues Context triple: [Hardy space, hasBoundaryValues, non-tangential limits almost everywhere]
-
A.
hasBoundaryCriterion
Indicates that something is associated with a specific rule or condition used to define or limit its boundary.
-
B.
hasBoundaryShape
Indicates that an entity is associated with, or characterized by, a specific geometric or spatial shape of its boundary.
-
C.
hasBoundaryType
Indicates that one entity has a boundary characterized by a specific type or classification in relation to another entity or context.
-
D.
hasBoundaryIncludes
Indicates that the spatial or conceptual boundary of one entity encompasses or contains the boundary of another entity.
-
E.
hasBoundaryFeature
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532bfeef4819096b2fa28abb662b9 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:35 a.m.