Triple

T13281517
Position Surface form Disambiguated ID Type / Status
Subject Hagerstown Flying Boxcars E316331 entity
Predicate abbreviation P43 FINISHED
Object HAG
HAG is the abbreviation for the Hagerstown Flying Boxcars, a sports team based in Hagerstown, Maryland.
 E1030306 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: HAG | Statement: [Hagerstown Flying Boxcars, abbreviation, HAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAG
Context triple: [Hagerstown Flying Boxcars, abbreviation, HAG]
  • A. Haghi
    Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
  • B. Hagaz
    Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
  • C. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • D. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • E. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • 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: HAG
Triple: [Hagerstown Flying Boxcars, abbreviation, HAG]
Generated description
HAG is the abbreviation for the Hagerstown Flying Boxcars, a sports team based in Hagerstown, Maryland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAG
Target entity description: HAG is the abbreviation for the Hagerstown Flying Boxcars, a sports team based in Hagerstown, Maryland.
  • A. Haghi
    Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
  • B. Hagaz
    Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
  • C. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • D. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • E. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904507588190a303686d176ec3e1 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a592d748190b55129515f71e979 completed May 3, 2026, 8:42 a.m.
NEDg Description generation batch_69f70b117c588190bb81ff53664cac4a completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70c04da34819091e01db25741674e completed May 3, 2026, 8:49 a.m.
Created at: April 9, 2026, 9:27 p.m.