Triple
T8445437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biathlon World Cup competitions |
E199661
|
entity |
| Predicate | hasOverallTitle |
P65893
|
FINISHED |
| Object | Overall World Cup winner |
—
|
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: Overall World Cup winner | Statement: [Biathlon World Cup competitions, hasOverallTitle, Overall World Cup winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOverallTitle Context triple: [Biathlon World Cup competitions, hasOverallTitle, Overall World Cup winner]
-
A.
hasTitleIn
chosen
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
C.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
D.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3138ee08190918cd82adbe2d9a1 |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:09 p.m.