Triple

T22594708
Position Surface form Disambiguated ID Type / Status
Subject ECHL Central Division E574642 entity
Predicate levelInPyramid P3194 FINISHED
Object AA
AA is a mid-tier professional sports league level, typically positioned below the top major league and above lower developmental tiers in a sport’s competitive hierarchy.
E619495 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: AA | Statement: [ECHL Central Division, levelInPyramid, AA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AA
Context triple: [ECHL Central Division, levelInPyramid, AA]
  • A. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • B. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • C. AA
    AA is a UK welfare benefit that provides financial support to older people who need help with personal care due to illness or disability.
  • D. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • E. AA
    AA is the New York Stock Exchange ticker symbol for Alcoa Corporation, a major American producer of aluminum and related products.
  • 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: AA
Triple: [ECHL Central Division, levelInPyramid, AA]
Generated description
AA is a mid-tier professional sports league level, typically positioned below the top major league and above lower developmental tiers in a sport’s competitive hierarchy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AA
Target entity description: AA is a mid-tier professional sports league level, typically positioned below the top major league and above lower developmental tiers in a sport’s competitive hierarchy.
  • A. AA chosen
    AA is a historic minor league professional baseball organization in the United States that has served as a key developmental league for Major League Baseball.
  • B. AA
    AA is the common abbreviation for "All American," a term often used in the United States to denote exemplary athletes, products, or qualities that embody traditional American ideals.
  • C. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • D. AA
    AA is the standard abbreviation for the Second Vatican Council document *Apostolicam Actuositatem*, which outlines the role and mission of laypeople in the Catholic Church.
  • E. AA
    AA is the vehicle registration code assigned to motor vehicles registered in parts of Central Java, Indonesia.
  • F. None of above.

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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16164d690819096f7c4efb6cedad9 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d61e0288190b644e5785f2379da completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b45be8b088190ad60342c64b4e064 completed May 18, 2026, 5 p.m.
NED2 Entity disambiguation (via description) batch_6a0b46369ac88190adc810e486f21604 completed May 18, 2026, 5:02 p.m.
Created at: April 17, 2026, 2:49 p.m.