Triple

T16685786
Position Surface form Disambiguated ID Type / Status
Subject Pimpri-Chinchwad E405457 entity
Predicate hasSuburb P747 FINISHED
Object Akurdi
Akurdi is a residential and industrial suburb within the Pimpri-Chinchwad area of the Pune metropolitan region in Maharashtra, India.
 E1227126 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: Akurdi | Statement: [Pimpri-Chinchwad, hasSuburb, Akurdi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akurdi
Context triple: [Pimpri-Chinchwad, hasSuburb, Akurdi]
  • A. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • B. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • C. Akordat
    Akordat is a town in western Eritrea that serves as an important local center for trade and agriculture in the Gash-Barka region.
  • D. Adûni
    Adûni is the Adûnaic-derived native name for Westron, the Common Speech of Middle-earth in J.R.R. Tolkien’s legendarium.
  • E. Akpes
    Akpes is a Niger-Congo language spoken by a small community in southwestern Nigeria, noted for its endangered status and complex tonal system.
  • 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: Akurdi
Triple: [Pimpri-Chinchwad, hasSuburb, Akurdi]
Generated description
Akurdi is a residential and industrial suburb within the Pimpri-Chinchwad area of the Pune metropolitan region in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akurdi
Target entity description: Akurdi is a residential and industrial suburb within the Pimpri-Chinchwad area of the Pune metropolitan region in Maharashtra, India.
  • A. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • B. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • C. Akordat
    Akordat is a town in western Eritrea that serves as an important local center for trade and agriculture in the Gash-Barka region.
  • D. Adûni
    Adûni is the Adûnaic-derived native name for Westron, the Common Speech of Middle-earth in J.R.R. Tolkien’s legendarium.
  • E. Akpes
    Akpes is a Niger-Congo language spoken by a small community in southwestern Nigeria, noted for its endangered status and complex tonal system.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea550c0819085bd36c44237a61a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a43f6a08190913ca123a2377f95 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b001c988190b0ddec3be0ed6fd0 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008b9a8b6481909df37edcecdd292c completed May 10, 2026, 1:43 p.m.
Created at: April 10, 2026, 5:19 a.m.