Triple
T13812533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFR |
E331928
|
entity |
| Predicate | organizes |
P123
|
FINISHED |
| Object | Top 14 |
E237223
|
NE 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: Top 14 | Statement: [FFR, organizes, Top 14]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top 14 Context triple: [FFR, organizes, Top 14]
-
A.
Top 14
chosen
Top 14 is the premier professional rugby union league in France, featuring the country’s top clubs and many of the world’s best players.
-
B.
Top 10
Top 10 is a comic book series by Alan Moore that follows the lives of superpowered police officers working in a city where nearly everyone has extraordinary abilities.
-
C.
Top 14 (current top division name)
The Top 14 is France’s premier professional rugby union league, featuring the country’s top clubs in the highest level of domestic competition.
-
D.
Top Five
Top Five is a 2014 comedy film written, directed by, and starring Chris Rock, following a comedian’s struggle to reinvent his career while navigating fame and relationships.
-
E.
TOP 09
TOP 09 is a Czech centre-right political party known for its pro-European stance and advocacy of fiscal responsibility and liberal-conservative policies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e6d5cc819087ccdbfc00f16542 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:12 p.m.