Triple

T15252747
Position Surface form Disambiguated ID Type / Status
Subject Nu River E364558 entity
Predicate hasMajorCityOnBank P7935 FINISHED
Object Liuku
Liuku is a town in Yunnan Province, China, serving as the county seat of Lushui and a key settlement along the upper Nu (Salween) River.
E1146060 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: Liuku | Statement: [Nu River, hasMajorCityOnBank, Liuku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liuku
Context triple: [Nu River, hasMajorCityOnBank, Liuku]
  • A. Lippulaiva
    Lippulaiva is a major shopping center in the Espoonlahti district of Espoo, Finland, featuring a wide range of retail stores, services, and public facilities.
  • B. Liski
    Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
  • C. Lokki
    Lokki is the highest mountain peak on the Faroe Islands island of Borðoy.
  • D. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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: Liuku
Triple: [Nu River, hasMajorCityOnBank, Liuku]
Generated description
Liuku is a town in Yunnan Province, China, serving as the county seat of Lushui and a key settlement along the upper Nu (Salween) River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liuku
Target entity description: Liuku is a town in Yunnan Province, China, serving as the county seat of Lushui and a key settlement along the upper Nu (Salween) River.
  • A. Lippulaiva
    Lippulaiva is a major shopping center in the Espoonlahti district of Espoo, Finland, featuring a wide range of retail stores, services, and public facilities.
  • B. Liski
    Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
  • C. Lokki
    Lokki is the highest mountain peak on the Faroe Islands island of Borðoy.
  • D. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f390bc8190bc0180c118e1523c completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee68055b88190afa0e3b1bc2b13bb completed May 9, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69fee7190a6c81908fa7376f3e3c5371 completed May 9, 2026, 7:49 a.m.
Created at: April 10, 2026, 3:13 a.m.