Triple
T23431910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Members of the European Parliament |
E563354
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MEP |
—
|
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: MEP | Statement: [Members of the European Parliament, abbreviation, MEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEP Context triple: [Members of the European Parliament, abbreviation, MEP]
-
A.
MEP
MEP is the ICAO airline designator assigned to Midwest Connect, a former regional airline brand in the United States.
-
B.
MEP
MEP is the acronym for Cuba’s Ministry of Economy and Planning, the government body responsible for directing national economic policy and development planning.
-
C.
MEP
chosen
MEP stands for "Member of the European Parliament," referring to an elected representative serving in the European Union's legislative body.
-
D.
MEP
MEP is a Multidisciplinary Expert Panel that brings together specialists from diverse fields to provide integrated, cross-sectoral scientific and technical advice.
-
E.
MEPZ
MEPZ is an industrial and export processing complex located on Mactan Island in the Philippines that hosts numerous manufacturing and electronics companies focused on export production.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d920548190904f80c7c40cba06 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.