Triple

T14690587
Position Surface form Disambiguated ID Type / Status
Subject Niigata Prefecture E345022 entity
Predicate containsCity P294 FINISHED
Object Aga
Aga is a rural town in Japan known for its mountainous landscapes and location within Niigata Prefecture on the island of Honshu.
 E1114281 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: Aga | Statement: [Niigata Prefecture, containsCity, Aga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aga
Context triple: [Niigata Prefecture, containsCity, Aga]
  • A. Aga
    Aga is a city in Egypt’s Dakahlia Governorate, known as one of the region’s principal urban centers in the Nile Delta.
  • B. Agta
    The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
  • C. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • D. Arbela
    Arbela is the ancient name of the modern city of Erbil in Iraqi Kurdistan, historically known as a major Assyrian and later Hellenistic center near the site of Alexander the Great’s victory at the Battle of Gaugamela.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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: Aga
Triple: [Niigata Prefecture, containsCity, Aga]
Generated description
Aga is a rural town in Japan known for its mountainous landscapes and location within Niigata Prefecture on the island of Honshu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aga
Target entity description: Aga is a rural town in Japan known for its mountainous landscapes and location within Niigata Prefecture on the island of Honshu.
  • A. Aga
    Aga is a city in Egypt’s Dakahlia Governorate, known as one of the region’s principal urban centers in the Nile Delta.
  • B. Agta
    The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
  • C. Serabi
    Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • D. Arbela
    Arbela is the ancient name of the modern city of Erbil in Iraqi Kurdistan, historically known as a major Assyrian and later Hellenistic center near the site of Alexander the Great’s victory at the Battle of Gaugamela.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5fd6854819083957f2c653eb8b6 completed May 8, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69fde6ffc27881909427d24560011cdf completed May 8, 2026, 1:37 p.m.
Created at: April 10, 2026, 1:28 a.m.