Triple

T4497833
Position Surface form Disambiguated ID Type / Status
Subject Renault E100742 entity
Predicate tickerSymbol P1447 FINISHED
Object RNO
RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
 E446407 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: RNO | Statement: [Renault, tickerSymbol, RNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RNO
Context triple: [Renault, tickerSymbol, RNO]
  • A. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • B. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • C. Ró
    Ró is a shortened given name or nickname derived from the name Róbert.
  • D. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • E. RON
    RON is the official currency code for the Romanian leu used in international finance and currency exchange.
  • 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: RNO
Triple: [Renault, tickerSymbol, RNO]
Generated description
RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RNO
Target entity description: RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • A. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • B. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • C. Ró
    Ró is a shortened given name or nickname derived from the name Róbert.
  • D. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • E. RON
    RON is the official currency code for the Romanian leu used in international finance and currency exchange.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c065e88190934eb0b1632d79bb completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c7da888190a60bd738e53156ed completed March 20, 2026, 3:29 p.m.
NEDg Description generation batch_69bd683417b08190bc4e08638a30c0ec completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b4681c8190abb170ccb054cd05 completed March 20, 2026, 3:33 p.m.
Created at: March 20, 2026, 1 p.m.