Triple

T16383057
Position Surface form Disambiguated ID Type / Status
Subject Bosnian Kingdom E397855 entity
Predicate capital P234 FINISHED
Object Bobovac
Bobovac was a fortified medieval town in present-day Bosnia and Herzegovina that served as a key royal and administrative center of the Bosnian Kingdom.
E1210195 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: Bobovac | Statement: [Bosnian Kingdom, capital, Bobovac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobovac
Context triple: [Bosnian Kingdom, capital, Bobovac]
  • A. Bozova
    Bozova is a town and district in Şanlıurfa Province in southeastern Turkey, situated near the massive Atatürk Dam on the Euphrates River.
  • B. Borovo
    Borovo is a small Bulgarian town situated along the Danube River in northern Bulgaria’s Ruse Province.
  • C. Boždarevac
    Boždarevac is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
  • D. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • E. Bohdašín
    Bohdašín is a small village in the Hradec Králové Region of the Czech Republic, administratively belonging to the town of Teplice nad Metují.
  • 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: Bobovac
Triple: [Bosnian Kingdom, capital, Bobovac]
Generated description
Bobovac was a fortified medieval town in present-day Bosnia and Herzegovina that served as a key royal and administrative center of the Bosnian Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bobovac
Target entity description: Bobovac was a fortified medieval town in present-day Bosnia and Herzegovina that served as a key royal and administrative center of the Bosnian Kingdom.
  • A. Bozova
    Bozova is a town and district in Şanlıurfa Province in southeastern Turkey, situated near the massive Atatürk Dam on the Euphrates River.
  • B. Borovo
    Borovo is a small Bulgarian town situated along the Danube River in northern Bulgaria’s Ruse Province.
  • C. Boždarevac
    Boždarevac is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
  • D. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • E. Bohdašín
    Bohdašín is a small village in the Hradec Králové Region of the Czech Republic, administratively belonging to the town of Teplice nad Metují.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319ddcef08190a2081855b5cf6762 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356b00408190beab51a23011be67 completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00369391a08190bb5521e2fcc839c6 completed May 10, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a00374326948190ae039bc689054387 completed May 10, 2026, 7:44 a.m.
Created at: April 10, 2026, 5:08 a.m.