Triple

T1886654
Position Surface form Disambiguated ID Type / Status
Subject Embraer E39978 entity
Predicate tickerSymbol P1447 FINISHED
Object ERJ
ERJ is the stock ticker symbol for Embraer, a major Brazilian aerospace company known for manufacturing commercial, executive, and military aircraft.
 E210018 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: ERJ | Statement: [Embraer, tickerSymbol, ERJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERJ
Context triple: [Embraer, tickerSymbol, ERJ]
  • A. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • B. ERL
    ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
  • C. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • D. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • E. 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.
  • 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: ERJ
Triple: [Embraer, tickerSymbol, ERJ]
Generated description
ERJ is the stock ticker symbol for Embraer, a major Brazilian aerospace company known for manufacturing commercial, executive, and military aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERJ
Target entity description: ERJ is the stock ticker symbol for Embraer, a major Brazilian aerospace company known for manufacturing commercial, executive, and military aircraft.
  • A. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • B. ERL
    ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
  • C. 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.
  • D. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • E. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb12032c881909cd93e3601906f48 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf63863881908efd8010db14b8a8 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade06eb0608190992291b9a0d5368c completed March 8, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69ade0d3f77481909cb4c9a57a9fb6a7 completed March 8, 2026, 8:49 p.m.
Created at: March 4, 2026, 7:34 p.m.