Triple
T10773013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Éléments de géométrie algébrique |
E254127
|
entity |
| Predicate | EGA I topic |
P26448
|
FINISHED |
| Object | foundations and language of schemes |
—
|
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: foundations and language of schemes | Statement: [Éléments de géométrie algébrique, EGA I topic, foundations and language of schemes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EGA I topic Context triple: [Éléments de géométrie algébrique, EGA I topic, foundations and language of schemes]
-
A.
featuresTopic
chosen
Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
-
B.
topicOfConference
Indicates that a given subject or theme is the main focus or subject matter of a particular conference.
-
C.
governedTopic
Indicates that a governing entity exercises authority, control, or regulatory oversight over a particular topic, issue, or domain.
-
D.
subjectOfProject
Indicates that an entity serves as the main focus, topic, or target of a particular project.
-
E.
coreIdea
Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7329b27748190bd0e2569c7972fd1 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.