Triple

T8216675
Position Surface form Disambiguated ID Type / Status
Subject Pune–Miraj–Londa line E191949 entity
Predicate connectsCity P4245 FINISHED
Object Londa
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
 E719008 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: Londa | Statement: [Pune–Miraj–Londa line, connectsCity, Londa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Londa
Context triple: [Pune–Miraj–Londa line, connectsCity, Londa]
  • A. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • B. Lorn
    Lorn is a historic district on the west coast of Scotland, known for its rugged landscapes and coastal scenery within the council area of Argyll and Bute.
  • C. Lorn
    Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
  • D. Laudon
    Laudon is a German-language surname most notably associated with the 18th-century Austrian field marshal Ernst Gideon von Laudon.
  • E. Lorne
    Lorne is a popular coastal town in Victoria, Australia, known for its beaches, scenic ocean views, and role as a key stop along the Great Ocean Road.
  • 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: Londa
Triple: [Pune–Miraj–Londa line, connectsCity, Londa]
Generated description
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Londa
Target entity description: Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
  • A. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • B. Lorn
    Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
  • C. Lorn
    Lorn is a historic district on the west coast of Scotland, known for its rugged landscapes and coastal scenery within the council area of Argyll and Bute.
  • D. Laudon
    Laudon is a German-language surname most notably associated with the 18th-century Austrian field marshal Ernst Gideon von Laudon.
  • E. Lorne
    Lorne is a popular coastal town in Victoria, Australia, known for its beaches, scenic ocean views, and role as a key stop along the Great Ocean Road.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776f41108190bed1c6a8ddbea374 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedfb6f608190aebfa720b56325e5 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bbbd2481908400436e05911326 completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:44 p.m.