Triple
T36870575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPST instanton |
E911211
|
entity |
| Predicate | belongsToTopologicalSector |
P201482
|
FINISHED |
| Object | winding number 1 sector |
—
|
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: winding number 1 sector | Statement: [BPST instanton, belongsToTopologicalSector, winding number 1 sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToTopologicalSector Context triple: [BPST instanton, belongsToTopologicalSector, winding number 1 sector]
-
A.
sectorizationContext
Indicates the contextual framework or conditions under which a system, area, or domain is divided into distinct sectors or segments.
-
B.
belongsToSubsector
Indicates that one entity is part of, or classified within, a more specific subsector of a broader sector or industry.
-
C.
hasSectorization
Indicates that one entity is divided into, assigned to, or associated with specific sectors defined by another entity.
-
D.
hasTopographicalRole
Indicates that an entity serves a specific functional or positional role within a topographical or spatial context.
-
E.
usesTopology
Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fff9b0338c8190a24ed0b5dc9784b2 |
completed | May 10, 2026, 3:21 a.m. |
Created at: May 3, 2026, 4:13 p.m.