Triple
T16752950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Réseau express métropolitain |
E407129
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
REM
REM is a fully automated light metro network serving the Greater Montreal area in Quebec, Canada.
|
E1232178
|
NE FINISHED |
How this triple was built (4 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: REM | Statement: [Réseau express métropolitain, abbreviation, REM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: REM Context triple: [Réseau express métropolitain, abbreviation, REM]
-
A.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
-
B.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
C.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
D.
RE
RE is the vehicle registration code used for the city of Recklinghausen in Germany.
-
E.
RE
RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: REM Triple: [Réseau express métropolitain, abbreviation, REM]
Generated description
REM is a fully automated light metro network serving the Greater Montreal area in Quebec, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: REM Target entity description: REM is a fully automated light metro network serving the Greater Montreal area in Quebec, Canada.
-
A.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
-
B.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
C.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
D.
RE
RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
-
E.
RE
RE is the vehicle registration code used for the city of Recklinghausen in Germany.
- F. None of above. chosen
Provenance (5 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa282bb08190992c9b61caa7a345 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 10, 2026, 5:21 a.m.