Triple

T90060
Position Surface form Disambiguated ID Type / Status
Subject St. Louis, Missouri, United States E1809 entity
Predicate hasNickname P39 FINISHED
Object STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
E34299 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: STL | Statement: [St. Louis, Missouri, United States, hasNickname, STL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STL
Context triple: [St. Louis, Missouri, United States, hasNickname, STL]
  • A. STLAM
    STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
  • B. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • C. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • D. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • E. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • 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: STL
Triple: [St. Louis, Missouri, United States, hasNickname, STL]
Generated description
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: STL
Target entity description: STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
  • A. STLAM
    STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
  • B. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • C. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • D. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • E. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a383e3575c8190932dcdc25503d06e completed March 1, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38611d3808190834c96fe39f9cf0d completed March 1, 2026, 12:19 a.m.
NEDg Description generation batch_69a386883e74819090d26dff200cb267 completed March 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69a386f03ac08190a2645a325bb73fcd completed March 1, 2026, 12:23 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.