Triple

T4938149
Position Surface form Disambiguated ID Type / Status
Subject Bay of Kotor E110862 entity
Predicate hasPart P35 FINISHED
Object Risan
Risan is a historic coastal town in Montenegro, situated along the Bay of Kotor and known for its ancient Illyrian and Roman heritage.
E481725 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: Risan | Statement: [Bay of Kotor, hasPart, Risan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Risan
Context triple: [Bay of Kotor, hasPart, Risan]
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Shiga
    Shiga is a landlocked prefecture in central Japan known for encompassing Lake Biwa, the country’s largest freshwater lake, and for its historical sites and natural scenery.
  • C. Kuwana
    Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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: Risan
Triple: [Bay of Kotor, hasPart, Risan]
Generated description
Risan is a historic coastal town in Montenegro, situated along the Bay of Kotor and known for its ancient Illyrian and Roman heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Risan
Target entity description: Risan is a historic coastal town in Montenegro, situated along the Bay of Kotor and known for its ancient Illyrian and Roman heritage.
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Shiga
    Shiga is a landlocked prefecture in central Japan known for encompassing Lake Biwa, the country’s largest freshwater lake, and for its historical sites and natural scenery.
  • C. Kuwana
    Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70872270819080769dad972681ef completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77bcb8d881908d393223bdea145a completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78747f3881908afe9cf276216bc5 completed March 21, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_69be78d03aec81909a2470306ba90cb0 completed March 21, 2026, 10:54 a.m.
Created at: March 20, 2026, 1:31 p.m.