Triple
T10508334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel Ban Amendment |
E247841
|
entity |
| Predicate | COPNumber |
P92361
|
FINISHED |
| Object | COP3 |
E101884
|
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: COP3 | Statement: [Basel Ban Amendment, COPNumber, COP3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COP3 Context triple: [Basel Ban Amendment, COPNumber, COP3]
-
A.
COP
COP is the official currency code used internationally to represent the Colombian peso.
-
B.
COP
chosen
COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
-
C.
COP
COP is the stock ticker symbol for ConocoPhillips, a major American multinational energy company focused on oil and natural gas exploration and production.
-
D.
COP
COP is the commonly used abbreviation for the Congressional Oversight Panel, a U.S. body created to monitor and report on the implementation of federal financial rescue programs.
-
E.
COPHS
COPHS is the commonly used acronym for the College of Pharmacy and Health Sciences, an academic unit focused on education and research in pharmacy and allied health professions.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b287ac8190805a2375bd16b7ae |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dce30d788190b4a40340b9200b10 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:26 p.m.