Triple

T7911286
Position Surface form Disambiguated ID Type / Status
Subject Zanskar Range E183703 entity
Predicate hasPeak P8205 FINISHED
Object Kun
Kun is a prominent high-altitude mountain peak in the Indian Himalayas, known as one of the major summits of the Nun-Kun massif in the Ladakh region.
E696702 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: Kun | Statement: [Zanskar Range, hasPeak, Kun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kun
Context triple: [Zanskar Range, hasPeak, Kun]
  • A. Kun
    Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
  • B. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • C. Kuni
    Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
  • D. Ku
    Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
  • E. Kunis
    Kunis is the surname of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show," "Black Swan," and as the voice of Meg Griffin on "Family Guy."
  • 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: Kun
Triple: [Zanskar Range, hasPeak, Kun]
Generated description
Kun is a prominent high-altitude mountain peak in the Indian Himalayas, known as one of the major summits of the Nun-Kun massif in the Ladakh region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kun
Target entity description: Kun is a prominent high-altitude mountain peak in the Indian Himalayas, known as one of the major summits of the Nun-Kun massif in the Ladakh region.
  • A. Kun
    Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
  • B. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • C. Kuni
    Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
  • D. Ku
    Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
  • E. Kunis
    Kunis is the surname of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show," "Black Swan," and as the voice of Meg Griffin on "Family Guy."
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a725b8c8190a530adb3107a95dd completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdaf91c8190b31c5e539bdf049f completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76aede388190a56e066c3302c35e completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.