Triple

T7400439
Position Surface form Disambiguated ID Type / Status
Subject Nagaon district E170732 entity
Predicate hasNotableTown P14082 FINISHED
Object Hojai
Hojai is a town in the Indian state of Assam known as a commercial and cultural center, particularly for its role in the region’s trade and local industries.
E662245 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: Hojai | Statement: [Nagaon district, hasNotableTown, Hojai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hojai
Context triple: [Nagaon district, hasNotableTown, Hojai]
  • A. Andong
    Andong is a historic city in South Korea renowned for its preserved traditional culture, including the Hahoe Folk Village and the Andong Mask Dance Festival.
  • B. Yeoju
    Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
  • C. Gwangyang
    Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
  • D. Mamuju
    Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
  • E. Gunpo
    Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
  • 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: Hojai
Triple: [Nagaon district, hasNotableTown, Hojai]
Generated description
Hojai is a town in the Indian state of Assam known as a commercial and cultural center, particularly for its role in the region’s trade and local industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hojai
Target entity description: Hojai is a town in the Indian state of Assam known as a commercial and cultural center, particularly for its role in the region’s trade and local industries.
  • A. Andong
    Andong is a historic city in South Korea renowned for its preserved traditional culture, including the Hahoe Folk Village and the Andong Mask Dance Festival.
  • B. Yeoju
    Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
  • C. Gwangyang
    Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
  • D. Mamuju
    Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
  • E. Gunpo
    Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24f6b7c81908cb61395239d03a0 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811c9c5e48190a610d890780c7aa4 completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8128e49948190822787e76b1663a6 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:10 p.m.