Triple

T6006173
Position Surface form Disambiguated ID Type / Status
Subject Sanofi E133715 entity
Predicate tickerSymbol P1447 FINISHED
Object SAN
SAN is the stock ticker symbol for Sanofi, a major global pharmaceutical company headquartered in France.
 E457291 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: SAN | Statement: [Sanofi, tickerSymbol, SAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAN
Context triple: [Sanofi, tickerSymbol, SAN]
  • A. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • B. SAN
    SAN is the acronym for the Schuylkill Action Network, a collaborative partnership focused on protecting and restoring the Schuylkill River watershed.
  • C. SAN
    SAN is the stock ticker symbol for Banco Santander S.A., a major Spanish multinational banking and financial services company.
  • D. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • E. SAM
    SAM is the commonly used abbreviation for the South Australian Museum, a major natural history and cultural institution located in Adelaide, Australia.
  • 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: SAN
Triple: [Sanofi, tickerSymbol, SAN]
Generated description
SAN is the stock ticker symbol for Sanofi, a major global pharmaceutical company headquartered in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAN
Target entity description: SAN is the stock ticker symbol for Sanofi, a major global pharmaceutical company headquartered in France.
  • A. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • B. SAN
    SAN is the acronym for the Schuylkill Action Network, a collaborative partnership focused on protecting and restoring the Schuylkill River watershed.
  • C. SAN chosen
    SAN is the stock ticker symbol for Banco Santander S.A., a major Spanish multinational banking and financial services company.
  • D. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • E. SAM
    SAM is the commonly used abbreviation for the South Australian Museum, a major natural history and cultural institution located in Adelaide, Australia.
  • F. None of above.

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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f128354819088971ee398cbda77 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10895559081908b9efdd32ecef37f completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b7467e88190955014bc060b20e4 completed March 23, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69c10c0a001c81908e3ca53e9491ff9a completed March 23, 2026, 9:46 a.m.
Created at: March 22, 2026, 4:06 p.m.