Triple
T1591552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN Security Council Resolution 1368 |
E34187
|
entity |
| Predicate | underChapter |
P18168
|
FINISHED |
| Object | Chapter VII of the United Nations Charter |
—
|
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: Chapter VII of the United Nations Charter | Statement: [UN Security Council Resolution 1368, underChapter, Chapter VII of the United Nations Charter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underChapter Context triple: [UN Security Council Resolution 1368, underChapter, Chapter VII of the United Nations Charter]
-
A.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
-
B.
under
Indicates that one entity is positioned below or beneath another entity, often implying vertical alignment or coverage.
-
C.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
D.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
-
E.
chapterInvoked
chosen
Indicates that one chapter is formally brought into effect, referenced, or applied within a particular legal, procedural, or narrative context.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.