Triple
T6136769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Effective Preferential Tariff scheme |
E136852
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CEPT |
E538274
|
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: CEPT | Statement: [Common Effective Preferential Tariff scheme, abbreviation, CEPT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEPT Context triple: [Common Effective Preferential Tariff scheme, abbreviation, CEPT]
-
A.
CEPT
CEPT is an Indian university in Ahmedabad renowned for its programs in architecture, planning, design, and related built-environment disciplines.
-
B.
CEPT
chosen
CEPT is a European intergovernmental organization that coordinates postal and telecommunications policies and regulations among its member countries.
-
C.
CONT
CONT is the European Parliament’s Committee on Budgetary Control, responsible for overseeing the implementation and proper use of the European Union budget.
-
D.
CON
CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
-
E.
CAP
CAP is the European Union’s Common Agricultural Policy, a framework of subsidies and programs designed to support farmers, ensure food security, and manage rural development across member states.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c8211d48190bc10675ba6707150 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135e22b9481908e6023d1b0a5d0fd |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.