Triple
T2171478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobelium |
E48435
|
entity |
| Predicate | elementCategory |
P87
|
FINISHED |
| Object | actinide series |
—
|
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: actinide series | Statement: [Nobelium, elementCategory, actinide series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elementCategory Context triple: [Nobelium, elementCategory, actinide series]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
category5Description
Indicates a textual description that explains or characterizes the fifth category in a defined set of categories.
-
C.
category1Description
Indicates that something serves as the primary descriptive text or explanation for a first or main category.
-
D.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
E.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.