Triple

T2769215
Position Surface form Disambiguated ID Type / Status
Subject White Sea E61411 entity
Predicate hasPart P35 FINISHED
Object Onega Bay
Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
E301810 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: Onega Bay | Statement: [White Sea, hasPart, Onega Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onega Bay
Context triple: [White Sea, hasPart, Onega Bay]
  • A. Kandalaksha
    Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
  • B. Avacha Bay
    Avacha Bay is a large, sheltered Pacific bay on Russia’s Kamchatka Peninsula, known as a major natural harbor surrounded by volcanic landscapes.
  • C. Nagaev Bay
    Nagaev Bay is a coastal inlet of the Sea of Okhotsk in Russia’s Far East, serving as the main harbor area for the port city of Magadan.
  • D. Torastan Bay
    Torastan Bay is a coastal inlet known for its beach near the town of Coll in Scotland’s Inner Hebrides.
  • E. Ungava Bay
    Ungava Bay is a large, remote Arctic bay in northern Quebec, Canada, known for its harsh climate, strong tides, and rich marine ecosystems.
  • 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: Onega Bay
Triple: [White Sea, hasPart, Onega Bay]
Generated description
Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Onega Bay
Target entity description: Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
  • A. Kandalaksha
    Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
  • B. Avacha Bay
    Avacha Bay is a large, sheltered Pacific bay on Russia’s Kamchatka Peninsula, known as a major natural harbor surrounded by volcanic landscapes.
  • C. Nagaev Bay
    Nagaev Bay is a coastal inlet of the Sea of Okhotsk in Russia’s Far East, serving as the main harbor area for the port city of Magadan.
  • D. Torastan Bay
    Torastan Bay is a coastal inlet known for its beach near the town of Coll in Scotland’s Inner Hebrides.
  • E. Ungava Bay
    Ungava Bay is a large, remote Arctic bay in northern Quebec, Canada, known for its harsh climate, strong tides, and rich marine ecosystems.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce89a144819096f9230c8d95ce3f completed March 10, 2026, 7:55 a.m.
NEDg Description generation batch_69afcf7cc6f08190aefbe07ef51f1928 completed March 10, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69afcfd803848190921f73fe1b15a01b completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:57 p.m.