Triple
T9926856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2036 Summer Olympics |
E187943
|
entity |
| Predicate | expectedNumberOfParticipatingNations |
P2436
|
FINISHED |
| Object | to be determined |
—
|
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: to be determined | Statement: [2036 Summer Olympics, expectedNumberOfParticipatingNations, to be determined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedNumberOfParticipatingNations Context triple: [2036 Summer Olympics, expectedNumberOfParticipatingNations, to be determined]
-
A.
numberOfParticipatingNations
chosen
Indicates the total count of nations that take part in a specified event, activity, or context.
-
B.
numberOfParticipatingCities
Indicates the total count of cities that take part in a specified event, program, or activity.
-
C.
countryParticipation
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
-
D.
numberOfOriginalNations
Indicates the count of distinct original nations associated with a given entity or context.
-
E.
numberOfCurrentNations
Indicates the total count of nations that currently exist or are recognized at a given point in time.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59b85f88190899ea279fc02660f |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.