Triple

T13414034
Position Surface form Disambiguated ID Type / Status
Subject Flower Mound High School E313163 entity
Predicate abbreviation P43 FINISHED
Object FMHS
FMHS is a large public high school located in Flower Mound, Texas, known for its strong academic programs and competitive extracurricular activities.
 E1038933 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: FMHS | Statement: [Flower Mound High School, abbreviation, FMHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FMHS
Context triple: [Flower Mound High School, abbreviation, FMHS]
  • A. FHS
    FHS is the Norwegian Defence University College, Norway’s primary institution for higher military education and research.
  • B. MHS
    MHS is the acronym for the U.S. Military Health System, the organization that provides healthcare services to active-duty service members, retirees, and their families.
  • C. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • D. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • E. CFHS
    CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
  • 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: FMHS
Triple: [Flower Mound High School, abbreviation, FMHS]
Generated description
FMHS is a large public high school located in Flower Mound, Texas, known for its strong academic programs and competitive extracurricular activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FMHS
Target entity description: FMHS is a large public high school located in Flower Mound, Texas, known for its strong academic programs and competitive extracurricular activities.
  • A. FHS
    FHS is the Norwegian Defence University College, Norway’s primary institution for higher military education and research.
  • B. MHS
    MHS is the acronym for the U.S. Military Health System, the organization that provides healthcare services to active-duty service members, retirees, and their families.
  • C. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • D. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • E. CFHS
    CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73195e4d88190ad356d0e3e18d34f completed May 3, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69f73220ffc08190bfb1b89757efd606 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:39 p.m.