Triple
T33504544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 33 of the United Nations Convention on the Law of the Sea |
E858077
|
entity |
| Predicate | titleOfSection |
P38
|
FINISHED |
| Object | Contiguous Zone |
—
|
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: Contiguous Zone | Statement: [Article 33 of the United Nations Convention on the Law of the Sea, titleOfSection, Contiguous Zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleOfSection Context triple: [Article 33 of the United Nations Convention on the Law of the Sea, titleOfSection, Contiguous Zone]
-
A.
titleOfPart
Indicates that one entity is the title specifically assigned to a part or section of another, larger work or resource.
-
B.
titleSheetSections
Indicates that one or more sections are associated with, or belong to, a particular title sheet.
-
C.
title
chosen
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
titleOver
Indicates that one entity holds a formal title, rank, or designation in relation to another entity, often implying authority, status, or role over it.
-
E.
sectionTitleOfAppearance
Indicates that a given title is the heading of the section in which a particular entity or appearance is presented or discussed.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: May 1, 2026, 1:38 a.m.