Triple

T14683064
Position Surface form Disambiguated ID Type / Status
Subject MTU Maintenance E344835 entity
Predicate customerType P809 FINISHED
Object OEMs E660946 NE FINISHED

How this triple was built (2 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: OEMs | Statement: [MTU Maintenance, customerType, OEMs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OEMs
Context triple: [MTU Maintenance, customerType, OEMs]
  • A. OEMs chosen
    OEMs (Original Equipment Manufacturers) are companies that design and produce vehicles or other end products into which components and technologies from suppliers like Mobileye are integrated.
  • B. OEM
    OEM refers to the Office for Emergency Management, a U.S. government agency created during World War II to coordinate civilian defense and federal emergency preparedness activities.
  • C. OEMA
    OEMA is the ICAO airport code for Prince Mohammad bin Abdulaziz International Airport serving Medina in Saudi Arabia.
  • D. SF OEM
    SF OEM is the abbreviated name for the San Francisco Office of Emergency Management, the city agency responsible for coordinating preparedness, response, and recovery efforts during emergencies and disasters.
  • E. San Francisco OEM
    San Francisco OEM is the city’s Office of Emergency Management, responsible for coordinating preparedness, response, and recovery efforts for disasters and major incidents in San Francisco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56a51ec8190941684fd562a7182 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18592088190892ae1cc371165be completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.