Triple
T34605401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavle Đurišić |
E888583
|
entity |
| Predicate | laterCollaboratedWith |
P60681
|
FINISHED |
| Object | Italian occupation authorities |
—
|
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: Italian occupation authorities | Statement: [Pavle Đurišić, laterCollaboratedWith, Italian occupation authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterCollaboratedWith Context triple: [Pavle Đurišić, laterCollaboratedWith, Italian occupation authorities]
-
A.
frequentlyCollaboratedWith
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
B.
hasCollaboratedIn
chosen
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
C.
hasCollaborativeCareerWith
Indicates that two entities have engaged in a shared or joint professional activity or career over a period of time.
-
D.
collaboratedWithInKeyWork
Indicates that two or more entities worked together in creating or contributing to a specific, significant work or project.
-
E.
relatedWorkOfCoAuthor
Indicates that one work is related to another through a shared co-author relationship between their creators.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00332eaa0c8190a69ea895576bb0ee |
completed | May 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_6a0032b2ea80819083b89ebb88165933 |
completed | May 10, 2026, 7:24 a.m. |
Created at: May 1, 2026, 2:03 a.m.