Triple
T2092634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeeman effect |
E32703
|
entity |
| Predicate | hasSelectionRules |
P2846
|
FINISHED |
| Object | Δm = 0, ±1 |
—
|
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: Δm = 0, ±1 | Statement: [Zeeman effect, hasSelectionRules, Δm = 0, ±1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSelectionRules Context triple: [Zeeman effect, hasSelectionRules, Δm = 0, ±1]
-
A.
hasRule
chosen
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
B.
hasSpecialRules
Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
-
C.
usesRulesFrom
Indicates that one entity applies, follows, or is governed by the rules defined or provided by another entity.
-
D.
eligibilityRulesSetBy
Indicates that one party defines or establishes the criteria or rules determining another party’s eligibility for something.
-
E.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba774ca881909f83cf65ffeb24bb |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.