Triple

T7757420
Position Surface form Disambiguated ID Type / Status
Subject Howard County General Hospital E175931 entity
Predicate alsoKnownAs P39 FINISHED
Object HCGH
HCGH is a community hospital in Howard County, Maryland, providing a wide range of acute care and medical services to local residents.
 E687478 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: HCGH | Statement: [Howard County General Hospital, alsoKnownAs, HCGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HCGH
Context triple: [Howard County General Hospital, alsoKnownAs, HCGH]
  • A. HGH
    HGH is the IATA airport code for Hangzhou Xiaoshan International Airport, the main international airport serving Hangzhou in eastern China.
  • B. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • C. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • D. HBG
    HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
  • E. BGH
    BGH is the highest court of ordinary jurisdiction in Germany, responsible for final appeals in civil and criminal cases.
  • 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: HCGH
Triple: [Howard County General Hospital, alsoKnownAs, HCGH]
Generated description
HCGH is a community hospital in Howard County, Maryland, providing a wide range of acute care and medical services to local residents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HCGH
Target entity description: HCGH is a community hospital in Howard County, Maryland, providing a wide range of acute care and medical services to local residents.
  • A. HGH
    HGH is the IATA airport code for Hangzhou Xiaoshan International Airport, the main international airport serving Hangzhou in eastern China.
  • B. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • C. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • D. HBG
    HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
  • E. BGH
    BGH is the highest court of ordinary jurisdiction in Germany, responsible for final appeals in civil and criminal cases.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703dcb26881909d72a280108864bf completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cb9e608190bfe62bf37b485fe9 completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c8698a388190a47d6636fe5d2bb4 completed March 29, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8f3873481908ef6efb2e39272db completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:09 p.m.