Triple

T13252204
Position Surface form Disambiguated ID Type / Status
Subject Helsingborgs IF E315560 entity
Predicate shortName P43 FINISHED
Object HIF
HIF is the commonly used abbreviation for Helsingborgs IF, a professional football club based in Helsingborg, Sweden.
 E1031036 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: HIF | Statement: [Helsingborgs IF, shortName, HIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HIF
Context triple: [Helsingborgs IF, shortName, HIF]
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • C. HIH
    HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
  • 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: HIF
Triple: [Helsingborgs IF, shortName, HIF]
Generated description
HIF is the commonly used abbreviation for Helsingborgs IF, a professional football club based in Helsingborg, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HIF
Target entity description: HIF is the commonly used abbreviation for Helsingborgs IF, a professional football club based in Helsingborg, Sweden.
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • C. HIH
    HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
  • 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

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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3b8ca48190863aff25f12d0e7e completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:24 p.m.