Triple

T4460267
Position Surface form Disambiguated ID Type / Status
Subject Lahaul and Spiti district E98234 entity
Predicate hasHeadquarters P62 FINISHED
Object Keylong
Keylong is a small town in the Indian state of Himachal Pradesh, known as the main urban center of the remote Lahaul region in the Himalayas.
E443097 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: Keylong | Statement: [Lahaul and Spiti district, hasHeadquarters, Keylong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keylong
Context triple: [Lahaul and Spiti district, hasHeadquarters, Keylong]
  • A. Knightro
    Knightro is the costumed knight mascot representing the University of Central Florida at its athletic events and campus activities.
  • B. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • C. Karakays
    Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Kyojin
    Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
  • 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: Keylong
Triple: [Lahaul and Spiti district, hasHeadquarters, Keylong]
Generated description
Keylong is a small town in the Indian state of Himachal Pradesh, known as the main urban center of the remote Lahaul region in the Himalayas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keylong
Target entity description: Keylong is a small town in the Indian state of Himachal Pradesh, known as the main urban center of the remote Lahaul region in the Himalayas.
  • A. Knightro
    Knightro is the costumed knight mascot representing the University of Central Florida at its athletic events and campus activities.
  • B. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • C. Karakays
    Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Kyojin
    Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35673337c8190b923159791ec27e3 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284431c48190aa1553ff89f2239f completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b629532cac8190b959adc0ef13305a completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62d9c287c8190a305f9d21517f913 completed March 15, 2026, 3:55 a.m.
Created at: March 12, 2026, 11:33 p.m.