Triple

T12310098
Position Surface form Disambiguated ID Type / Status
Subject Pune district E293453 entity
Predicate containsTown P847 FINISHED
Object Khed
Khed is a town in the Pune district of Maharashtra, India, known as a local commercial and administrative center for surrounding rural areas.
E973224 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: Khed | Statement: [Pune district, containsTown, Khed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khed
Context triple: [Pune district, containsTown, Khed]
  • A. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • B. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • C. Kushva
    Kushva is a small industrial city in Russia’s Sverdlovsk Oblast, historically known for its iron ore mining in the Ural Mountains.
  • D. Khardaha
    Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
  • E. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • 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: Khed
Triple: [Pune district, containsTown, Khed]
Generated description
Khed is a town in the Pune district of Maharashtra, India, known as a local commercial and administrative center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khed
Target entity description: Khed is a town in the Pune district of Maharashtra, India, known as a local commercial and administrative center for surrounding rural areas.
  • A. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • B. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • C. Kushva
    Kushva is a small industrial city in Russia’s Sverdlovsk Oblast, historically known for its iron ore mining in the Ural Mountains.
  • D. Khardaha
    Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
  • E. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f02c0508190b10c0627cdaaba76 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e84fa708190854afc6afd425fd7 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5d746c8190b5b0edfc4832bc6c completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.