Triple
T461641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bose–Einstein condensate |
E7351
|
entity |
| Predicate | hasPhysicalConstituent |
P35
|
FINISHED |
| Object | boson |
—
|
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: boson | Statement: [Bose–Einstein condensate, hasPhysicalConstituent, boson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalConstituent Context triple: [Bose–Einstein condensate, hasPhysicalConstituent, boson]
-
A.
hasPhysicalFootprint
Indicates that one entity occupies or affects a specific physical area or space in the real world.
-
B.
embodiedBy
Indicates that an abstract concept, role, or function is physically or concretely realized in a specific entity.
-
C.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
E.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.