Triple
T32747315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jensen–Shannon divergence |
E837388
|
entity |
| Predicate | generalizedDefinition |
P176372
|
FINISHED |
| Object | JSD({P_i}, {w_i}) = H(∑ w_i P_i) − ∑ w_i H(P_i) |
—
|
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: JSD({P_i}, {w_i}) = H(∑ w_i P_i) − ∑ w_i H(P_i) | Statement: [Jensen–Shannon divergence, generalizedDefinition, JSD({P_i}, {w_i}) = H(∑ w_i P_i) − ∑ w_i H(P_i)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalizedDefinition
Context triple: [Jensen–Shannon divergence, generalizedDefinition, JSD({P_i}, {w_i}) = H(∑ w_i P_i) − ∑ w_i H(P_i)]
-
A.
generalizationDefinition
Indicates that one concept is defined as a more general or abstract form of another, capturing a broader meaning that subsumes the more specific concept.
-
B.
generalizationOf
Indicates that one entity represents a broader, more general concept or category that subsumes or abstracts over another, more specific entity.
-
C.
generalizationTo
Indicates that one concept or entity is a more general, abstract, or encompassing version of another, capturing a broader category or superset relationship.
-
D.
generalizationProperty
Indicates that one property is a more general, overarching version of another property, capturing a broader or more abstract relationship.
-
E.
definitionText
Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:12 a.m.