Triple

T5390986
Position Surface form Disambiguated ID Type / Status
Subject LaRue County EMS E120325 entity
Predicate hasAbbreviation P43 FINISHED
Object EMS
EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
 E517606 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: EMS | Statement: [LaRue County EMS, hasAbbreviation, EMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMS
Context triple: [LaRue County EMS, hasAbbreviation, EMS]
  • A. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • B. EMA
    EMA is the abbreviated name for the Joint Staff headquarters that oversees and coordinates the operations of the French Armed Forces.
  • C. EMA
    EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
  • D. EMES
    EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
  • E. MES
    MES is the former IATA airport code that was used for Polonia International Airport in Medan, Indonesia.
  • 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: EMS
Triple: [LaRue County EMS, hasAbbreviation, EMS]
Generated description
EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMS
Target entity description: EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
  • A. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • B. EMA
    EMA is the abbreviated name for the Joint Staff headquarters that oversees and coordinates the operations of the French Armed Forces.
  • C. EMA
    EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
  • D. EMES
    EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
  • E. MES
    MES is the former IATA airport code that was used for Polonia International Airport in Medan, Indonesia.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd87185f788190bd5244a1f7dbb5c8 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3366a0588190b1e5e48be86471fe completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf36295f608190b2c7d66874741d27 completed March 22, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69bf36c7b5988190901a7fb643313c11 completed March 22, 2026, 12:24 a.m.
Created at: March 20, 2026, 2:04 p.m.