Triple
T3488046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Dynamical Theory of the Electromagnetic Field |
E73656
|
entity |
| Predicate | numberOfEquations |
P48686
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [A Dynamical Theory of the Electromagnetic Field, numberOfEquations, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEquations Context triple: [A Dynamical Theory of the Electromagnetic Field, numberOfEquations, 20]
-
A.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
-
B.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
C.
MaxwellEquationNumber
Indicates which specific numbered Maxwell equation (from the standard set of Maxwell’s equations) a given statement, formula, or representation corresponds to.
-
D.
numberOfQueries
Indicates the total count of queries associated with or performed in a given context or entity.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9193688190aa0cbf87a7b99446 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb055ed2481908171effe28151cf9 |
completed | March 8, 2026, 5:22 p.m. |
Created at: March 8, 2026, 3:18 p.m.