Triple

T14297563
Position Surface form Disambiguated ID Type / Status
Subject White Mountains (Alaska) E354479 entity
Predicate near P350 FINISHED
Object Chatanika River NE ONDG

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: Chatanika River | Statement: [White Mountains (Alaska), near, Chatanika River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatanika River
Context triple: [White Mountains (Alaska), near, Chatanika River]
  • A. Jinzū River
    The Jinzū River is a prominent river in central Japan that flows through Gifu and Toyama Prefectures before emptying into the Sea of Japan.
  • B. Usui River
    The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
  • C. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • D. Tenryu River
    The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
  • E. Arakawa River
    The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
  • 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: Chatanika River
Triple: [White Mountains (Alaska), near, Chatanika River]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chatanika River
Target entity description: The Chatanika River is a scenic, free-flowing river in central Alaska popular for fishing, boating, and recreation, flowing through boreal forest and tundra north of Fairbanks.
  • A. Jinzū River
    The Jinzū River is a prominent river in central Japan that flows through Gifu and Toyama Prefectures before emptying into the Sea of Japan.
  • B. Usui River
    The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
  • C. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • D. Tenryu River
    The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
  • E. Arakawa River
    The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
  • F. None of above. chosen

Provenance (4 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717cfc948190ace5f1c91283b1c3 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 1:11 a.m.