Triple

T620367
Position Surface form Disambiguated ID Type / Status
Subject Sitka E14497 entity
Predicate formerName P65 FINISHED
Object Novo-Arkhangelsk
Novo-Arkhangelsk was the Russian colonial-era name for the settlement that later became the city of Sitka in present-day Alaska.
E103525 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: Novo-Arkhangelsk | Statement: [Sitka, formerName, Novo-Arkhangelsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novo-Arkhangelsk
Context triple: [Sitka, formerName, Novo-Arkhangelsk]
  • A. Nakhodka
    Nakhodka is a key port city on Russia’s Pacific coast, serving as an important hub for maritime trade and transport in the Russian Far East.
  • B. Arkhangelsk
    Arkhangelsk is a historic port city in northern Russia on the White Sea, long serving as a key maritime gateway and administrative center of the surrounding region.
  • C. Magadan
    Magadan is a remote port city in Russia’s Far East, known historically as a gateway to the Kolyma region and its former Gulag labor camps.
  • D. Murmansk
    Murmansk is a major Arctic port city in northwestern Russia, known for its ice-free harbor and strategic military and shipping importance.
  • E. Yakutsk
    Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
  • 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: Novo-Arkhangelsk
Triple: [Sitka, formerName, Novo-Arkhangelsk]
Generated description
Novo-Arkhangelsk was the Russian colonial-era name for the settlement that later became the city of Sitka in present-day Alaska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Novo-Arkhangelsk
Target entity description: Novo-Arkhangelsk was the Russian colonial-era name for the settlement that later became the city of Sitka in present-day Alaska.
  • A. Nakhodka
    Nakhodka is a key port city on Russia’s Pacific coast, serving as an important hub for maritime trade and transport in the Russian Far East.
  • B. Arkhangelsk
    Arkhangelsk is a historic port city in northern Russia on the White Sea, long serving as a key maritime gateway and administrative center of the surrounding region.
  • C. Magadan
    Magadan is a remote port city in Russia’s Far East, known historically as a gateway to the Kolyma region and its former Gulag labor camps.
  • D. Murmansk
    Murmansk is a major Arctic port city in northwestern Russia, known for its ice-free harbor and strategic military and shipping importance.
  • E. Yakutsk
    Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e270b448190beb677670443b5b6 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b830bf5c81908784e8146987eb96 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7ba8dd7408190b5ee7688e45f2473 completed March 4, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69a7bc1da490819097fe1e60e3e93ba4 completed March 4, 2026, 4:59 a.m.
Created at: March 1, 2026, 7:35 p.m.