Triple
T24963503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Cannas da Silva |
E624672
|
entity |
| Predicate | hasNotableCollaborationInField |
P168014
|
FINISHED |
| Object | symplectic geometry |
—
|
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: symplectic geometry | Statement: [Ana Cannas da Silva, hasNotableCollaborationInField, symplectic geometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCollaborationInField Context triple: [Ana Cannas da Silva, hasNotableCollaborationInField, symplectic geometry]
-
A.
hasNotableCollaborationType
Indicates a specific kind or category of significant collaborative relationship that exists between entities.
-
B.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
C.
notableCollaboration
Indicates a significant joint effort or partnership between entities that produced a noteworthy shared outcome or work.
-
D.
frequentlyCollaboratedWith
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
E.
hasNotableAuthorWork
Indicates that an author is notably associated with creating a particular work.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 18, 2026, 5:59 a.m.