Triple

T22251603
Position Surface form Disambiguated ID Type / Status
Subject La Revue des Deux Mondes E549990 entity
Predicate hasAbbreviation P43 FINISHED
Object RDM
RDM is the common abbreviation for *La Revue des Deux Mondes*, a long-running and influential French literary and cultural review.
 E1526645 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: RDM | Statement: [La Revue des Deux Mondes, hasAbbreviation, RDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RDM
Context triple: [La Revue des Deux Mondes, hasAbbreviation, RDM]
  • A. RDM
    RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
  • B. RDC
    RDC is the National Rail station code for Redditch railway station in Worcestershire, England.
  • C. RAMD
    RAMD is the abbreviation for the Royal Malay Regiment, a renowned infantry regiment of the Malaysian Army known for its long history and ceremonial as well as combat roles.
  • D. DBM
    DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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: RDM
Triple: [La Revue des Deux Mondes, hasAbbreviation, RDM]
Generated description
RDM is the common abbreviation for *La Revue des Deux Mondes*, a long-running and influential French literary and cultural review.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RDM
Target entity description: RDM is the common abbreviation for *La Revue des Deux Mondes*, a long-running and influential French literary and cultural review.
  • A. RDM
    RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
  • B. RDC
    RDC is the National Rail station code for Redditch railway station in Worcestershire, England.
  • C. RAMD
    RAMD is the abbreviation for the Royal Malay Regiment, a renowned infantry regiment of the Malaysian Army known for its long history and ceremonial as well as combat roles.
  • D. DBM
    DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138befa208190877760dec1896740 completed April 28, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab6606be48190bf16d33ca2261ca6 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab738e6e081909d23bcbcbf3d4abb completed May 18, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab7bb6fbc81909e54be3d1ae98cbf completed May 18, 2026, 6:54 a.m.
Created at: April 16, 2026, 8:39 p.m.