Triple
T5431234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN General Assembly Resolution 2659 (XXV) |
E121493
|
entity |
| Predicate | sessionNotation |
P63717
|
FINISHED |
| Object | XXV |
—
|
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: XXV | Statement: [UN General Assembly Resolution 2659 (XXV), sessionNotation, XXV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionNotation Context triple: [UN General Assembly Resolution 2659 (XXV), sessionNotation, XXV]
-
A.
sessionOf
Indicates that one entity is a session that belongs to, occurs within, or is associated with another entity (such as an event, course, or meeting series).
-
B.
inscriptionSession
Indicates a relationship where an inscription is created, recorded, or associated within a particular session or event of inscribing.
-
C.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
D.
sessionContext
Indicates the contextual relationship in which a session occurs, including its surrounding conditions, parameters, or environment that shape or influence that session.
-
E.
numberWithinSession
Indicates the ordinal position or index that something occupies within a given session.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8910de688190aa0cd80627849a60 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:06 p.m.