Triple

T11933195
Position Surface form Disambiguated ID Type / Status
Subject Bosna E283965 entity
Predicate passesNear P416 FINISHED
Object Doboj
Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
E954776 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: Doboj | Statement: [Bosna, passesNear, Doboj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doboj
Context triple: [Bosna, passesNear, Doboj]
  • A. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • B. Zaječar
    Zaječar is a city in eastern Serbia known as the nearest urban center to the late Roman imperial palace complex of Gamzigrad (Felix Romuliana).
  • C. Čačak
    Čačak is a city in central Serbia known as an important regional industrial, cultural, and transportation center on the West Morava River.
  • D. Pljevlja
    Pljevlja is a northern Montenegrin town known as one of the main urban and economic centers of the Sandžak region.
  • E. Subotiv
    Subotiv is a historic village in central Ukraine, best known as the birthplace and estate of 17th-century Cossack leader Bohdan Khmelnytsky.
  • 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: Doboj
Triple: [Bosna, passesNear, Doboj]
Generated description
Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doboj
Target entity description: Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
  • A. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • B. Zaječar
    Zaječar is a city in eastern Serbia known as the nearest urban center to the late Roman imperial palace complex of Gamzigrad (Felix Romuliana).
  • C. Čačak
    Čačak is a city in central Serbia known as an important regional industrial, cultural, and transportation center on the West Morava River.
  • D. Pljevlja
    Pljevlja is a northern Montenegrin town known as one of the main urban and economic centers of the Sandžak region.
  • E. Subotiv
    Subotiv is a historic village in central Ukraine, best known as the birthplace and estate of 17th-century Cossack leader Bohdan Khmelnytsky.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
NEDg Description generation batch_69f448fc874081908fe05f9d8aff11a3 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44afdc7b08190bdf47cfcb94c34c8 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.