Triple

T6320948
Position Surface form Disambiguated ID Type / Status
Subject Kholmsk E141734 entity
Predicate formerName P65 FINISHED
Object Maoka
Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
 E586502 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: Maoka | Statement: [Kholmsk, formerName, Maoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maoka
Context triple: [Kholmsk, formerName, Maoka]
  • A. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • B. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Punga
    Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
  • E. Kurawa
    Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
  • 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: Maoka
Triple: [Kholmsk, formerName, Maoka]
Generated description
Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maoka
Target entity description: Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • A. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • B. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Punga
    Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
  • E. Kurawa
    Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c61f008190b316b9ff1023b057 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040b1e0481908095decce40107b4 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c605d1ed048190b96c9d27c3470882 completed March 27, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69c6063e2904819086786ff2edebce32 completed March 27, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:29 p.m.