Triple
T933758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations General Assembly resolutions |
E20150
|
entity |
| Predicate | haveNumberingScheme |
P3378
|
FINISHED |
| Object | session‑based resolution numbers |
—
|
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: session‑based resolution numbers | Statement: [United Nations General Assembly resolutions, haveNumberingScheme, session‑based resolution numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveNumberingScheme Context triple: [United Nations General Assembly resolutions, haveNumberingScheme, session‑based resolution numbers]
-
A.
standardNumberingScheme
Indicates that there is a specific, commonly accepted numbering system or convention being applied to identify or order the related entities.
-
B.
hasCategoryNumbering
Indicates that an entity is assigned or associated with a specific category-based numbering or index within a classification system.
-
C.
numberingType
chosen
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
hasNumberSystem
Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
-
E.
hasNumberCategory
Indicates that an entity is associated with a specific numerical classification or type.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b299c4d881908a57ac2711676cd7 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.