Triple
T2173785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London penetration depth |
E48480
|
entity |
| Predicate | entersExpression |
P37404
|
FINISHED |
| Object | screening current density in superconductors |
—
|
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: screening current density in superconductors | Statement: [London penetration depth, entersExpression, screening current density in superconductors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entersExpression Context triple: [London penetration depth, entersExpression, screening current density in superconductors]
-
A.
isPartOfExpression
Indicates that something functions as a component or constituent element within a larger expression.
-
B.
coordinateExpression
Indicates that one expression is syntactically or semantically coordinated with another, typically as part of a compound structure (e.g., joined by "and" or "or").
-
C.
entersFrom
Indicates that one entity moves into or arrives at a place, state, or context by coming from another specified source or location.
-
D.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
E.
mathematicallyExpressedBy
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
- 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_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. |
| PDg | Predicate description generation | batch_69abc153b22481908115e5f582c93f12 |
completed | March 7, 2026, 6:10 a.m. |
Created at: March 4, 2026, 7:45 p.m.