Triple
T10991849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarz lemma |
E259769
|
entity |
| Predicate | equalityCaseDescription |
P52973
|
FINISHED |
| Object | f(z) = e^{iθ} z for some real θ |
—
|
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: f(z) = e^{iθ} z for some real θ | Statement: [Schwarz lemma, equalityCaseDescription, f(z) = e^{iθ} z for some real θ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equalityCaseDescription
Context triple: [Schwarz lemma, equalityCaseDescription, f(z) = e^{iθ} z for some real θ]
-
A.
equalityCondition
chosen
Indicates that two values, expressions, or attributes must be exactly the same for the condition to be satisfied.
-
B.
indexCaseDescription
Indicates a textual description that explains the circumstances, characteristics, or details of the initial or primary case in a set of related cases.
-
C.
legalEquivalence
Indicates that two legal entities, statuses, or provisions are considered to have the same legal effect, standing, or validity within a given legal framework.
-
D.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
-
E.
conditionsDescribedAs
Indicates that one entity is described or characterized in terms of certain conditions specified by another entity.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d1e918819090c71f5a077fa15a |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.