Triple

T19780431
Position Surface form Disambiguated ID Type / Status
Subject D50 E475115 entity
Predicate connectsToTown P60933 FINISHED
Object Lovinac
Lovinac is a small municipality and village in Lika-Senj County, Croatia, known for its rural landscape and proximity to the Velebit mountain range.
E1394964 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: Lovinac | Statement: [D50, connectsToTown, Lovinac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lovinac
Context triple: [D50, connectsToTown, Lovinac]
  • A. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • B. Aleksinac
    Aleksinac is a town in southern Serbia known historically for its mining industry and its strategic location along major transport routes between Niš and Belgrade.
  • C. Erceg
    Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
  • D. Piva
    Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
  • E. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • 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: Lovinac
Triple: [D50, connectsToTown, Lovinac]
Generated description
Lovinac is a small municipality and village in Lika-Senj County, Croatia, known for its rural landscape and proximity to the Velebit mountain range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lovinac
Target entity description: Lovinac is a small municipality and village in Lika-Senj County, Croatia, known for its rural landscape and proximity to the Velebit mountain range.
  • A. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • B. Aleksinac
    Aleksinac is a town in southern Serbia known historically for its mining industry and its strategic location along major transport routes between Niš and Belgrade.
  • C. Erceg
    Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
  • D. Piva
    Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
  • E. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd7ac0b48190bc331db6689f7b54 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:49 p.m.