Triple

T803090
Position Surface form Disambiguated ID Type / Status
Subject Lena River E17170 entity
Predicate majorPort P528 FINISHED
Object Tiksi
Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
 E95095 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: Tiksi | Statement: [Lena River, majorPort, Tiksi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiksi
Context triple: [Lena River, majorPort, Tiksi]
  • A. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • B. Tiel
    Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
  • C. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • 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: Tiksi
Triple: [Lena River, majorPort, Tiksi]
Generated description
Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiksi
Target entity description: Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
  • A. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • B. Tiel
    Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
  • C. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabd9fc081908ccadd8e8769de2d completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a693cf5f348190868cdf3539274aeb completed March 3, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69a6d5bc74008190b94ef7ea63f39671 completed March 3, 2026, 12:36 p.m.
Created at: March 1, 2026, 7:38 p.m.