Triple
T5902517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA Beach Soccer World Cup |
E131260
|
entity |
| Predicate | topTitle |
P15922
|
FINISHED |
| Object | world champion in beach soccer |
—
|
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: world champion in beach soccer | Statement: [FIFA Beach Soccer World Cup, topTitle, world champion in beach soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topTitle Context triple: [FIFA Beach Soccer World Cup, topTitle, world champion in beach soccer]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titleStart
Indicates that one entity’s title begins with the text or substring represented by the other entity.
-
C.
titles
chosen
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
D.
titleIIFocus
Indicates that the primary focus or subject of a Title II–related provision, requirement, or classification is the referenced entity.
-
E.
titleOnTheLine
Indicates that a title or heading is positioned directly on a specific line (such as a line of text, a boundary, or a graphical line) rather than above, below, or separate from it.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.