Triple

T19061049
Position Surface form Disambiguated ID Type / Status
Subject Aldan River E466531 entity
Predicate hasCityOnBank P7935 FINISHED
Object Tommot
Tommot is a small town in Russia’s Sakha Republic, known as a transport hub on the Amur–Yakutsk Mainline railway and a gateway to the southern Yakutia region.
 E1355648 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: Tommot | Statement: [Aldan River, hasCityOnBank, Tommot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tommot
Context triple: [Aldan River, hasCityOnBank, Tommot]
  • A. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • B. Toomai
    Toomai is a young elephant handler’s son from Rudyard Kipling’s *The Jungle Book*, known for his bravery and his special bond with elephants.
  • C. Tommen
    Tommen is a fictional young king from George R. R. Martin’s "A Song of Ice and Fire" series and its TV adaptation "Game of Thrones," known as the gentle and impressionable youngest son of Cersei Lannister.
  • D. Meeko
    Meeko is the mischievous raccoon companion of Pocahontas in Disney's animated film "Pocahontas."
  • E. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • 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: Tommot
Triple: [Aldan River, hasCityOnBank, Tommot]
Generated description
Tommot is a small town in Russia’s Sakha Republic, known as a transport hub on the Amur–Yakutsk Mainline railway and a gateway to the southern Yakutia region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tommot
Target entity description: Tommot is a small town in Russia’s Sakha Republic, known as a transport hub on the Amur–Yakutsk Mainline railway and a gateway to the southern Yakutia region.
  • A. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • B. Toomai
    Toomai is a young elephant handler’s son from Rudyard Kipling’s *The Jungle Book*, known for his bravery and his special bond with elephants.
  • C. Tommen
    Tommen is a fictional young king from George R. R. Martin’s "A Song of Ice and Fire" series and its TV adaptation "Game of Thrones," known as the gentle and impressionable youngest son of Cersei Lannister.
  • D. Meeko
    Meeko is the mischievous raccoon companion of Pocahontas in Disney's animated film "Pocahontas."
  • E. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e194c854819085a0a48d22c5cebd completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c55dec9881908d56c270e538463d completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c66f7efc8190859bf4ca53012d1d completed May 14, 2026, 12:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05c6f11fd88190be6fd8c235e3d269 completed May 14, 2026, 12:58 p.m.
Created at: April 10, 2026, 12:03 p.m.