Triple

T7657122
Position Surface form Disambiguated ID Type / Status
Subject Victor J. Andrew High School E173411 entity
Predicate abbreviation P43 FINISHED
Object AHS
AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
 E679154 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: AHS | Statement: [Victor J. Andrew High School, abbreviation, AHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHS
Context triple: [Victor J. Andrew High School, abbreviation, AHS]
  • A. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • B. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • C. EAHS
    EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • D. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • E. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • 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: AHS
Triple: [Victor J. Andrew High School, abbreviation, AHS]
Generated description
AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHS
Target entity description: AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • A. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • B. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • C. EAHS
    EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • D. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • E. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b05846c8190b49540aeae43dd9a completed March 29, 2026, 3:22 a.m.
NEDg Description generation batch_69c89baadac081909921bb6215e79319 completed March 29, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c89c698f2c8190b5d2717835bd1d82 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 3:59 p.m.