Triple
T1168204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | basketball at the 1992 Summer Olympics |
E24847
|
entity |
| Predicate | menNumberOfGroups |
P8911
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [basketball at the 1992 Summer Olympics, menNumberOfGroups, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menNumberOfGroups Context triple: [basketball at the 1992 Summer Olympics, menNumberOfGroups, 2]
-
A.
numberOfGroups
chosen
Indicates the total count of distinct groups associated with or formed within a given context or entity.
-
B.
airGroupSize
Indicates the number of units or elements grouped together in an air-related context (such as aircraft in a formation or air assets in an operation).
-
C.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
D.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
E.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.