Triple
T8733492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasse bound for elliptic curves |
E207314
|
entity |
| Predicate | statesInequality |
P84548
|
FINISHED |
| Object | |a| ≤ 2√q |
—
|
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: |a| ≤ 2√q | Statement: [Hasse bound for elliptic curves, statesInequality, |a| ≤ 2√q]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statesInequality Context triple: [Hasse bound for elliptic curves, statesInequality, |a| ≤ 2√q]
-
A.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
B.
affectedU.S.State
Indicates that a particular U.S. state is impacted or influenced by a specified event, condition, or entity.
-
C.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
D.
respondentState
Indicates the state or jurisdiction in which the respondent is located, resides, or is legally associated.
-
E.
stateLawAtIssue
Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2a26988190acfda17f232e610a |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc572d99bc819097f36b140c2ee1ce |
completed | March 31, 2026, 11:22 p.m. |
Created at: March 30, 2026, 6:37 p.m.