Triple
T7154191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La République En Marche! |
E166766
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | LREM |
E166766
|
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: LREM | Statement: [La République En Marche!, hasAbbreviation, LREM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LREM Context triple: [La République En Marche!, hasAbbreviation, LREM]
-
A.
LREM
chosen
LREM is a centrist, pro-European political party in France founded by Emmanuel Macron in 2016.
-
B.
LEM
LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
-
C.
LZ
LZ is the vehicle registration code assigned to the municipality of Kals am Großglockner in Austria.
-
D.
LZ
LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
-
E.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f68384819095e6aef89555442a |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8f42abc8190856210b8dea0a6de |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:46 p.m.