Triple

T15394672
Position Surface form Disambiguated ID Type / Status
Subject Kanin Nos Cape E368141 entity
Predicate RussianName P744 FINISHED
Object Канин Нос
Канин Нос — это мыс на северо-западе России на побережье Баренцева моря, являющийся одной из крайних северных точек европейской части страны.
E1154902 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: Канин Нос | Statement: [Kanin Nos Cape, RussianName, Канин Нос]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Канин Нос
Context triple: [Kanin Nos Cape, RussianName, Канин Нос]
  • A. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • B. Naknek
    Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
  • C. Qikiqtagruk
    Qikiqtagruk is the traditional Iñupiaq name for the city of Kotzebue in northwestern Alaska, a coastal community located above the Arctic Circle.
  • D. Hattula
    Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
  • E. Karluk
    Karluk refers to a historical branch of the Turkic peoples and their language group, influential in Central Asia during the early medieval period.
  • 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: Канин Нос
Triple: [Kanin Nos Cape, RussianName, Канин Нос]
Generated description
Канин Нос — это мыс на северо-западе России на побережье Баренцева моря, являющийся одной из крайних северных точек европейской части страны.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Канин Нос
Target entity description: Канин Нос — это мыс на северо-западе России на побережье Баренцева моря, являющийся одной из крайних северных точек европейской части страны.
  • A. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • B. Naknek
    Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
  • C. Qikiqtagruk
    Qikiqtagruk is the traditional Iñupiaq name for the city of Kotzebue in northwestern Alaska, a coastal community located above the Arctic Circle.
  • D. Hattula
    Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
  • E. Karluk
    Karluk refers to a historical branch of the Turkic peoples and their language group, influential in Central Asia during the early medieval period.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13523f548190beafd130f8741465 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141b025c8190ac5ac9400ff36133 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff1519100c819083ee0342bf25d89e completed May 9, 2026, 11:06 a.m.
Created at: April 10, 2026, 3:19 a.m.