Triple

T6825515
Position Surface form Disambiguated ID Type / Status
Subject Bosnian Cyrillic E157004 entity
Predicate usedIn P98 FINISHED
Object Hum
Hum was a medieval South Slavic principality in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
 E621593 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: Hum | Statement: [Bosnian Cyrillic, usedIn, Hum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hum
Context triple: [Bosnian Cyrillic, usedIn, Hum]
  • A. Ham
    Ham is a municipality in the Belgian province of Limburg, known for its rural character and location in the Flemish Region.
  • B. Ham
    Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
  • C. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • D. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • E. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • 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: Hum
Triple: [Bosnian Cyrillic, usedIn, Hum]
Generated description
Hum was a medieval South Slavic principality in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hum
Target entity description: Hum was a medieval South Slavic principality in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
  • A. Ham
    Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
  • B. Ham
    Ham is a municipality in the Belgian province of Limburg, known for its rural character and location in the Flemish Region.
  • C. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • D. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • E. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d581ea5881908ba78c6bf1ce58ee completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f12a148190adbb05782a2041b6 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7251ec97c819094fb2a73ac1d1d0e completed March 28, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69c725d04d988190a4a6a1c73056cfd7 completed March 28, 2026, 12:50 a.m.
Created at: March 27, 2026, 2:18 p.m.