Triple

T18156001
Position Surface form Disambiguated ID Type / Status
Subject Société des Bains de Mer de Monaco E434632 entity
Predicate tickerSymbol P1447 FINISHED
Object BAIN
BAIN is the stock ticker symbol for Société des Bains de Mer de Monaco, a prominent Monegasque company known for its luxury casinos, hotels, and entertainment venues in Monte Carlo.
 E1310207 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: BAIN | Statement: [Société des Bains de Mer de Monaco, tickerSymbol, BAIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAIN
Context triple: [Société des Bains de Mer de Monaco, tickerSymbol, BAIN]
  • A. Bain
    Bain is a variant form of the name or term "Bean," used as an alternative spelling or version in certain contexts.
  • B. BAYN
    BAYN is the stock ticker symbol for Bayer AG, the German multinational pharmaceutical and life sciences company.
  • C. Bais
    Bais is a coastal city in Negros Oriental, Philippines, known for its sugar industry and as a popular jumping-off point for dolphin and whale watching in the Tañon Strait.
  • D. BNA
    BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
  • E. BNA
    BNA is the abbreviation commonly used for the Bulgarian People's Army, the former armed forces of the People's Republic of Bulgaria during the socialist era.
  • 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: BAIN
Triple: [Société des Bains de Mer de Monaco, tickerSymbol, BAIN]
Generated description
BAIN is the stock ticker symbol for Société des Bains de Mer de Monaco, a prominent Monegasque company known for its luxury casinos, hotels, and entertainment venues in Monte Carlo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAIN
Target entity description: BAIN is the stock ticker symbol for Société des Bains de Mer de Monaco, a prominent Monegasque company known for its luxury casinos, hotels, and entertainment venues in Monte Carlo.
  • A. Bain
    Bain is a variant form of the name or term "Bean," used as an alternative spelling or version in certain contexts.
  • B. BAYN
    BAYN is the stock ticker symbol for Bayer AG, the German multinational pharmaceutical and life sciences company.
  • C. Bais
    Bais is a coastal city in Negros Oriental, Philippines, known for its sugar industry and as a popular jumping-off point for dolphin and whale watching in the Tañon Strait.
  • D. BNA
    BNA is the vehicle registration code assigned to motor vehicles registered in the district of Leipzig in Germany.
  • E. BNA
    BNA is the abbreviation commonly used for the Bulgarian People's Army, the former armed forces of the People's Republic of Bulgaria during the socialist era.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debe27a88190bd76c6f78fcf1bd1 completed April 19, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fbcd66c819097cb2cd457157e2b completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03915b8a748190bf168a308e4c638c completed May 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0392118b84819081252eb438ed5654 completed May 12, 2026, 8:48 p.m.
Created at: April 10, 2026, 10:30 a.m.