Triple

T6937716
Position Surface form Disambiguated ID Type / Status
Subject GNK Dinamo Zagreb E160593 entity
Predicate predecessor P97 FINISHED
Object HAŠK
HAŠK was a historic Croatian sports club from Zagreb, best known for its influential football team and role in the early development of organized sport in the region.
 E629405 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: HAŠK | Statement: [GNK Dinamo Zagreb, predecessor, HAŠK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAŠK
Context triple: [GNK Dinamo Zagreb, predecessor, HAŠK]
  • A. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • B. Hase
    The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • E. Hazarajat
    Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
  • 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: HAŠK
Triple: [GNK Dinamo Zagreb, predecessor, HAŠK]
Generated description
HAŠK was a historic Croatian sports club from Zagreb, best known for its influential football team and role in the early development of organized sport in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAŠK
Target entity description: HAŠK was a historic Croatian sports club from Zagreb, best known for its influential football team and role in the early development of organized sport in the region.
  • A. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • B. Hase
    The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • E. Hazarajat
    Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515509148190b5739cdf8cd7a28a completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752c9b3d08190960d3c1aa88a93a7 completed March 28, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69c7537ea24c819081bb672d43d4a373 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:28 p.m.