Triple
T34057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the United Nations |
E677
|
entity |
| Predicate | branchType |
P1988
|
FINISHED |
| Object | olive branches |
—
|
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: olive branches | Statement: [Flag of the United Nations, branchType, olive branches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: branchType Context triple: [Flag of the United Nations, branchType, olive branches]
-
A.
servesBranch
Indicates that one entity provides services or support to a particular branch or subdivision of an organization.
-
B.
hasMajorBranch
Indicates that one entity possesses or includes another entity as a primary or principal subdivision or branch.
-
C.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
D.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
E.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a24872e4e481908567850168d65015 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a248fef2b881908180bd4e32e58cb5 |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.