Triple
T18495163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy space |
E451925
|
entity |
| Predicate | hasDualSpace |
P131886
|
FINISHED |
| Object | H^q for 1 < p < ∞ with 1/p + 1/q = 1 |
—
|
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: H^q for 1 < p < ∞ with 1/p + 1/q = 1 | Statement: [Hardy space, hasDualSpace, H^q for 1 < p < ∞ with 1/p + 1/q = 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDualSpace Context triple: [Hardy space, hasDualSpace, H^q for 1 < p < ∞ with 1/p + 1/q = 1]
-
A.
hasSecondarySpace
Indicates that an entity possesses or is associated with an additional, subordinate, or auxiliary space beyond its primary one.
-
B.
haveDualityProperty
Indicates that an entity possesses a characteristic or state that inherently consists of two complementary, contrasting, or coexisting aspects.
-
C.
supportsDualSIM
Indicates that one entity provides or enables the use of two SIM cards simultaneously or interchangeably in another entity.
-
D.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
-
E.
supportsDualPlayfield
Indicates that an entity is capable of handling or displaying two playfields or gameplay areas simultaneously.
- 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.