Triple

T973489
Position Surface form Disambiguated ID Type / Status
Subject Emergency Service Unit E20997 entity
Predicate alsoKnownAs P39 FINISHED
Object ESU
ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
 E115317 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: ESU | Statement: [Emergency Service Unit, alsoKnownAs, ESU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESU
Context triple: [Emergency Service Unit, alsoKnownAs, ESU]
  • A. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • B. PSU
    PSU is a public research university located in downtown Portland, Oregon, known for its urban campus and emphasis on community engagement and sustainability.
  • C. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • 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: ESU
Triple: [Emergency Service Unit, alsoKnownAs, ESU]
Generated description
ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESU
Target entity description: ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • A. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • B. PSU
    PSU is a public research university located in downtown Portland, Oregon, known for its urban campus and emphasis on community engagement and sustainability.
  • C. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b45f28f081908d41b2d7f353708d completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170a00f481909da0394531ac24fe completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac18e9be2081909770ab2ead56d0db completed March 7, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac195b7cd08190b2c3f07d7ae849ed completed March 7, 2026, 12:26 p.m.
Created at: March 1, 2026, 7:40 p.m.