Triple
T8832121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | antiprotonic helium |
E210169
|
entity |
| Predicate | hasTheoreticalTreatment |
P84902
|
FINISHED |
| Object | high-precision few-body calculations |
—
|
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: high-precision few-body calculations | Statement: [antiprotonic helium, hasTheoreticalTreatment, high-precision few-body calculations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheoreticalTreatment Context triple: [antiprotonic helium, hasTheoreticalTreatment, high-precision few-body calculations]
-
A.
hasTheoreticalStatus
Indicates that something possesses a particular theoretical standing, classification, or role within a conceptual or theoretical framework.
-
B.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
-
C.
hasTheoreticalJournal
Indicates that an entity is associated with or possesses a theoretical journal, typically as a publication, resource, or reference.
-
D.
hasCoreTheory
Indicates that an entity is associated with, based on, or governed by a central underlying theory that defines its fundamental principles or framework.
-
E.
hasCommonTreatment
Indicates that two or more entities share at least one treatment method or therapeutic approach in common.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc605005788190a4df1fe317f3056a |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:47 p.m.