Triple
T528155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordic combined |
E10968
|
entity |
| Predicate | teamSize |
P3668
|
FINISHED |
| Object | 4 athletes in standard team event |
—
|
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 athletes in standard team event | Statement: [Nordic combined, teamSize, 4 athletes in standard team event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSize Context triple: [Nordic combined, teamSize, 4 athletes in standard team event]
-
A.
typicalTeamSize
chosen
Indicates the usual or most common number of members that make up a given team.
-
B.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
C.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
D.
team
Indicates that multiple entities are grouped together as a collaborative unit working toward shared goals or tasks.
-
E.
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).
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.