Triple

T2144832
Position Surface form Disambiguated ID Type / Status
Subject Embraer ERJ 145 E47039 entity
Predicate IATADesignator P3732 FINISHED
Object ER4
ER4 is the IATA aircraft type designator used for the Embraer ERJ 145 regional jet.
 E236968 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: ER4 | Statement: [Embraer ERJ 145, IATADesignator, ER4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ER4
Context triple: [Embraer ERJ 145, IATADesignator, ER4]
  • A. RE8
    The RE8 was a British World War I two-seat reconnaissance and artillery observation biplane widely used by Allied air services.
  • 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 a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • 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
  • 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: ER4
Triple: [Embraer ERJ 145, IATADesignator, ER4]
Generated description
ER4 is the IATA aircraft type designator used for the Embraer ERJ 145 regional jet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ER4
Target entity description: ER4 is the IATA aircraft type designator used for the Embraer ERJ 145 regional jet.
  • A. RE8
    The RE8 was a British World War I two-seat reconnaissance and artillery observation biplane widely used by Allied air services.
  • 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 a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe243e248190848bb1b86047f980 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.