Triple
T28137872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Charter principles |
E714257
|
entity |
| Predicate | articulatedInChapter |
P36548
|
FINISHED |
| Object | Chapter I 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 I of the United Nations Charter | Statement: [United Nations Charter principles, articulatedInChapter, Chapter I of the United Nations Charter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articulatedInChapter Context triple: [United Nations Charter principles, articulatedInChapter, Chapter I of the United Nations Charter]
-
A.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
B.
chapterMentioned
Indicates that a specific chapter is referenced or cited within a given context or source.
-
C.
chapterName
Indicates that a chapter is identified or labeled by a specific name or title.
-
D.
foundInChapter
chosen
Indicates that something (such as a concept, section, or element) is contained within or occurs in a specific chapter.
-
E.
basedOnChapter
Indicates that something (such as a work, section, or element) is derived from, adapted from, or primarily informed by a specific chapter.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6413172c881908190c990d60dc284 |
completed | May 2, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:51 p.m.