Triple

T1792479
Position Surface form Disambiguated ID Type / Status
Subject Special Emergency Reaction Team E39527 entity
Predicate hasAbbreviation P43 FINISHED
Object SERT
SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
 E200526 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: SERT | Statement: [Special Emergency Reaction Team, hasAbbreviation, SERT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SERT
Context triple: [Special Emergency Reaction Team, hasAbbreviation, SERT]
  • A. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • B. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • C. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • D. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • E. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • 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: SERT
Triple: [Special Emergency Reaction Team, hasAbbreviation, SERT]
Generated description
SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SERT
Target entity description: SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
  • A. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • B. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • C. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • D. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • E. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653b02448190bc475bc22187f5b0 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d26afc81909675064289d3a5b8 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb69b142c81909dd8bd40e8e440ad completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8bac99081908cf126d42c609559 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.