Triple

T2756900
Position Surface form Disambiguated ID Type / Status
Subject Jharkhand E61121 entity
Predicate hasMajorCity P316 FINISHED
Object Phusro
Phusro is a coal-mining and industrial town in the Bokaro district of Jharkhand, India.
 E295181 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: Phusro | Statement: [Jharkhand, hasMajorCity, Phusro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phusro
Context triple: [Jharkhand, hasMajorCity, Phusro]
  • A. Taif
    Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
  • B. Awaji
    Awaji is a city located on Awaji Island in Japan, known for its scenic coastal landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
  • C. Seto
    Seto is a South Estonian dialect and cultural variety spoken by the Seto people, known for its distinct linguistic features and rich folk traditions.
  • D. Seto
    Seto is a city in Kagawa Prefecture, Japan, known for its traditional ceramics and role as a regional cultural and industrial center.
  • E. Tsu
    Tsu is a coastal city in central Japan that serves as the administrative and economic center of Mie Prefecture.
  • 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: Phusro
Triple: [Jharkhand, hasMajorCity, Phusro]
Generated description
Phusro is a coal-mining and industrial town in the Bokaro district of Jharkhand, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phusro
Target entity description: Phusro is a coal-mining and industrial town in the Bokaro district of Jharkhand, India.
  • A. Taif
    Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
  • B. Awaji
    Awaji is a city located on Awaji Island in Japan, known for its scenic coastal landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
  • C. Seto
    Seto is a South Estonian dialect and cultural variety spoken by the Seto people, known for its distinct linguistic features and rich folk traditions.
  • D. Seto
    Seto is a city in Kagawa Prefecture, Japan, known for its traditional ceramics and role as a regional cultural and industrial center.
  • E. Tsu
    Tsu is a coastal city in central Japan that serves as the administrative and economic center of Mie Prefecture.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8a292c8190ab3982434805241a completed March 7, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdf650c8190baa020143b51f94b completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc67c39c8190b5932c0e23595f64 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd2d8a2c8190896a9154ebbd8bab completed March 10, 2026, 6:41 a.m.
Created at: March 6, 2026, 9:56 p.m.