Triple

T22368867
Position Surface form Disambiguated ID Type / Status
Subject Whelen Engineering E552984 entity
Predicate servesSector P2193 FINISHED
Object EMS NE NERFINISHED

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: EMS | Statement: [Whelen Engineering, servesSector, EMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMS
Context triple: [Whelen Engineering, servesSector, EMS]
  • A. EMS chosen
    EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
  • B. EMS
    EMS is the vehicle registration code used on license plates for vehicles registered in the district of Rhein-Lahn-Kreis, whose administrative seat is Nassau, in the German state of Rhineland-Palatinate.
  • C. EMS
    EMS is a Christian mission organization focused on international partnership, evangelism, and social justice work, particularly within the global evangelical community.
  • D. EMS
    EMS (Enhanced Messaging Service) is a mobile messaging standard that extends basic SMS by allowing the exchange of simple multimedia content such as formatted text, icons, animations, and ringtones between compatible phones.
  • E. ESMS
    ESMS is the ICAO airport code for Malmö Airport, an international airport serving the Malmö region in southern Sweden.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.