Triple
T4955753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN General Assembly ES-11/4 |
E111275
|
entity |
| Predicate | numberWithinSession |
P59660
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [UN General Assembly ES-11/4, numberWithinSession, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberWithinSession Context triple: [UN General Assembly ES-11/4, numberWithinSession, 4]
-
A.
sessionCount
Indicates the number of distinct sessions associated with an entity or interaction context.
-
B.
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).
-
C.
selectionSessionNumber
Indicates the specific numbered position or identifier assigned to a selection within a sequence or session of selections.
-
D.
awardedAtSessionNumber
Indicates the specific numbered session during which an award or recognition was given.
-
E.
timeSincePreviousSession
Indicates the amount of time that has elapsed between the current session and the immediately preceding 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71babb44819085b4cd4864433e79 |
completed | March 20, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3beb008190852fd6150813b252 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6d98dc88819083459a01d3e8fc45 |
completed | March 20, 2026, 3:54 p.m. |
Created at: March 20, 2026, 1:32 p.m.