Triple
T18495133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy space |
E451925
|
entity |
| Predicate | H^pIs |
P69227
|
FINISHED |
| Object | Banach space for 1 ≤ p ≤ ∞ |
—
|
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: Banach space for 1 ≤ p ≤ ∞ | Statement: [Hardy space, H^pIs, Banach space for 1 ≤ p ≤ ∞]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: H^pIs Context triple: [Hardy space, H^pIs, Banach space for 1 ≤ p ≤ ∞]
-
A.
HamIs
Indicates that one entity is identified, classified, or equated as ham in relation to another entity.
-
B.
HethIs
chosen
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
-
C.
PI
Indicates a part-whole or component relationship, where one entity is an integral part of another.
-
D.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
E.
hizb
Indicates a relationship in which an entity is affiliated with, belongs to, or is associated with a political party or organized group.
- 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_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. |
Created at: April 10, 2026, 11:35 a.m.