Triple

T5803733
Position Surface form Disambiguated ID Type / Status
Subject Jhansi Junction railway station E128689 entity
Predicate stationCode P1289 FINISHED
Object JHS
JHS is the station code for Jhansi Junction, a major railway hub in Uttar Pradesh, India, serving as an important stop on several key routes of the Indian Railways network.
 E546924 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: JHS | Statement: [Jhansi Junction railway station, stationCode, JHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JHS
Context triple: [Jhansi Junction railway station, stationCode, JHS]
  • A. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • B. Madharasa
    Madharasa is a revered figure in the Lingayat tradition, recognized for contributions to its religious and philosophical heritage.
  • C. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • D. Hook Junior School
    Hook Junior School is a primary-level educational institution serving children in the village of Hook in Hampshire, England.
  • E. Jr.
    Jr. is a generational suffix used in English-speaking naming conventions to distinguish a son from his father when they share the same full name.
  • 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: JHS
Triple: [Jhansi Junction railway station, stationCode, JHS]
Generated description
JHS is the station code for Jhansi Junction, a major railway hub in Uttar Pradesh, India, serving as an important stop on several key routes of the Indian Railways network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JHS
Target entity description: JHS is the station code for Jhansi Junction, a major railway hub in Uttar Pradesh, India, serving as an important stop on several key routes of the Indian Railways network.
  • A. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • B. Madharasa
    Madharasa is a revered figure in the Lingayat tradition, recognized for contributions to its religious and philosophical heritage.
  • C. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • D. Hook Junior School
    Hook Junior School is a primary-level educational institution serving children in the village of Hook in Hampshire, England.
  • E. Jr.
    Jr. is a generational suffix used in English-speaking naming conventions to distinguish a son from his father when they share the same full name.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02ad11cf0819094d8f9e4aaf099a2 completed March 22, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09836d00881908c210b2932d67519 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098f32f7081908d9306afc30147a1 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0996fb9148190ae8c09f4816d00b8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:52 p.m.