Triple

T20470937
Position Surface form Disambiguated ID Type / Status
Subject Hermite normal form E502190 entity
Predicate alsoKnownAs P39 FINISHED
Object HNF
HNF is a canonical matrix form used in linear algebra and number theory to study integer lattices and solve systems of linear Diophantine equations.
 E1433353 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: HNF | Statement: [Hermite normal form, alsoKnownAs, HNF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HNF
Context triple: [Hermite normal form, alsoKnownAs, HNF]
  • A. HFN
    HFN is the three-letter National Rail station code assigned to Hertford North railway station in Hertfordshire, England.
  • B. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • C. HNH
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • D. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • E. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • 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: HNF
Triple: [Hermite normal form, alsoKnownAs, HNF]
Generated description
HNF is a canonical matrix form used in linear algebra and number theory to study integer lattices and solve systems of linear Diophantine equations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HNF
Target entity description: HNF is a canonical matrix form used in linear algebra and number theory to study integer lattices and solve systems of linear Diophantine equations.
  • A. HFN
    HFN is the three-letter National Rail station code assigned to Hertford North railway station in Hertfordshire, England.
  • B. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • C. HNH
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • D. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • E. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e699608d7c8190910217817e789915 completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1c8764819082fab819e2114156 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:33 a.m.