Triple
T29565506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brauer–Manin obstruction |
E753151
|
entity |
| Predicate | canExplain |
P3638
|
FINISHED |
| Object | absence of rational points despite local solvability |
—
|
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: absence of rational points despite local solvability | Statement: [Brauer–Manin obstruction, canExplain, absence of rational points despite local solvability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canExplain Context triple: [Brauer–Manin obstruction, canExplain, absence of rational points despite local solvability]
-
A.
canAnswerQuestionsIn
Indicates that an entity has the ability to answer questions within a specified context, domain, or environment.
-
B.
canAnswerQuestions
Indicates that an entity has the ability or capacity to respond correctly or appropriately to questions.
-
C.
usedToExplain
chosen
Indicates that one entity serves as an explanation or clarification for another entity.
-
D.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
E.
canInstruct
Indicates that one entity has the authority or ability to give instructions or guidance to 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d2061c88190b433ce83fa06d41b |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:52 p.m.