Triple
T8811468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian national cross-country skiing team |
E209672
|
entity |
| Predicate | hasOlympicMedalists |
P55619
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Italian national cross-country skiing team, hasOlympicMedalists, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOlympicMedalists Context triple: [Italian national cross-country skiing team, hasOlympicMedalists, true]
-
A.
hasOlympians
chosen
Indicates that an entity includes, is associated with, or contains one or more Olympian participants or members.
-
B.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
C.
hasOlympicCountry
Indicates that an entity is associated with or represents a specific country in the context of the Olympic Games.
-
D.
historicalPredecessorHasOlympicGoldMedals
Indicates that the earlier historical counterpart of an entity has won one or more Olympic gold medals.
-
E.
hasOlympicLegacy
Indicates that something has a lasting impact, influence, or heritage resulting from its association with the Olympic Games.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fed18f8819087b0282bf8c4208c |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.