Triple

T5934359
Position Surface form Disambiguated ID Type / Status
Subject Eurofins Scientific E132007 entity
Predicate tickerSymbol P1447 FINISHED
Object ERF
ERF is the stock ticker symbol used to represent Eurofins Scientific on financial markets.
 E556371 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: ERF | Statement: [Eurofins Scientific, tickerSymbol, ERF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERF
Context triple: [Eurofins Scientific, tickerSymbol, ERF]
  • A. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • B. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • C. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • D. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • E. ERZ
    ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
  • 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: ERF
Triple: [Eurofins Scientific, tickerSymbol, ERF]
Generated description
ERF is the stock ticker symbol used to represent Eurofins Scientific on financial markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERF
Target entity description: ERF is the stock ticker symbol used to represent Eurofins Scientific on financial markets.
  • A. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • B. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • C. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • D. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • E. ERZ
    ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038a0c4e481908170d615330edb1a completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c069e450819096b268637ffcd219 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c46fabf081908484ba066c25187b completed March 23, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4f21528819093a36c07e2637446 completed March 23, 2026, 4:43 a.m.
Created at: March 22, 2026, 4 p.m.