Triple
T723140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 Summer Olympics |
E14661
|
entity |
| Predicate | boycottingNationsCount |
P18637
|
FINISHED |
| Object | 29 |
—
|
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: 29 | Statement: [1976 Summer Olympics, boycottingNationsCount, 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boycottingNationsCount Context triple: [1976 Summer Olympics, boycottingNationsCount, 29]
-
A.
numberOfParticipatingNations
Indicates the total count of nations that take part in a specified event, activity, or context.
-
B.
diplomaticSupportFrom
Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
-
C.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
-
D.
associatedConfederationCount
Indicates the number of distinct confederations with which an entity is associated.
-
E.
confederationsRepresented
Indicates that one entity serves as an official representative or member of one or more confederations within a given context.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a55a26e081908134ee93faaf7c40 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.