Triple
T20694439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee on Financial Markets |
E508627
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Committee on Statistics and Statistical Policy |
—
|
NE NERFINISHED |
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: Committee on Statistics and Statistical Policy | Statement: [Committee on Financial Markets, collaboratesWith, Committee on Statistics and Statistical Policy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Committee on Statistics and Statistical Policy Context triple: [Committee on Financial Markets, collaboratesWith, Committee on Statistics and Statistical Policy]
-
A.
Committee on Statistics and Statistical Policy
chosen
The Committee on Statistics and Statistical Policy is an OECD body that guides and coordinates international statistical standards, data quality, and evidence-based policymaking across member countries.
-
B.
United Nations Statistical Commission
The United Nations Statistical Commission is the highest decision-making body for international statistical activities, setting global statistical standards and coordinating the work of national and international statistical systems.
-
C.
Office for Statistics Regulation
The Office for Statistics Regulation is the UK’s independent regulatory body that oversees the production and use of official statistics to ensure they are trustworthy, high quality, and serve the public good.
-
D.
Institute of Statistics
The Institute of Statistics is a graduate-level academic unit at National Tsing Hua University specializing in advanced statistical theory, methods, and applications.
-
E.
Department of Statistics
The Department of Statistics at the University of Warwick is a leading academic department specializing in statistical theory, methodology, and applications, known for its strong research output and high-quality teaching.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c110c4108190a3ab171df33be194 |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:10 p.m.