Triple

T12832250
Position Surface form Disambiguated ID Type / Status
Subject Jaipur Municipal Corporation E306816 entity
Predicate alsoKnownAs P39 FINISHED
Object JMC
JMC is the civic governing body responsible for municipal administration and public services in the city of Jaipur, India.
 E1004725 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: JMC | Statement: [Jaipur Municipal Corporation, alsoKnownAs, JMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JMC
Context triple: [Jaipur Municipal Corporation, alsoKnownAs, JMC]
  • A. JCMC
    JCMC is a regional hospital and healthcare facility located in Johnson City, Tennessee.
  • B. JMD
    JMD is the official currency code for the Jamaican dollar, the legal tender used in Jamaica.
  • C. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • D. SJM
    SJM is the National Rail station code for St. James railway station in Liverpool, England.
  • E. MJC
    MJC is the commonly used abbreviation for Modesto Junior College, a public community college located in Modesto, California.
  • 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: JMC
Triple: [Jaipur Municipal Corporation, alsoKnownAs, JMC]
Generated description
JMC is the civic governing body responsible for municipal administration and public services in the city of Jaipur, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JMC
Target entity description: JMC is the civic governing body responsible for municipal administration and public services in the city of Jaipur, India.
  • A. JCMC
    JCMC is a regional hospital and healthcare facility located in Johnson City, Tennessee.
  • B. JMD
    JMD is the official currency code for the Jamaican dollar, the legal tender used in Jamaica.
  • C. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • D. SJM
    SJM is the National Rail station code for St. James railway station in Liverpool, England.
  • E. MJC
    MJC is the commonly used abbreviation for Modesto Junior College, a public community college located in Modesto, California.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed8d20081908e0fb5262b354cab completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:34 p.m.