Triple

T11851342
Position Surface form Disambiguated ID Type / Status
Subject Hoshangabad district E281914 entity
Predicate containsTown P847 FINISHED
Object Pipariya
Pipariya is a town in the Indian state of Madhya Pradesh, known as a key rail and road gateway to the nearby hill station of Pachmarhi.
 E952874 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: Pipariya | Statement: [Hoshangabad district, containsTown, Pipariya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pipariya
Context triple: [Hoshangabad district, containsTown, Pipariya]
  • A. Pipra
    Pipra is a genus of small, brightly colored Neotropical manakins known for the males’ elaborate courtship displays in forest understories.
  • B. Pupri
    Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
  • C. Bhokar
    Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
  • D. Paraiya
    Paraiya is a village and administrative block in Bihar, India, known as one of the community development blocks within Gaya district.
  • E. Pipavav
    Pipavav is a coastal town in Gujarat, India, known primarily for hosting one of the country’s major private ports and associated shipbuilding and maritime industries.
  • 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: Pipariya
Triple: [Hoshangabad district, containsTown, Pipariya]
Generated description
Pipariya is a town in the Indian state of Madhya Pradesh, known as a key rail and road gateway to the nearby hill station of Pachmarhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pipariya
Target entity description: Pipariya is a town in the Indian state of Madhya Pradesh, known as a key rail and road gateway to the nearby hill station of Pachmarhi.
  • A. Pipra
    Pipra is a genus of small, brightly colored Neotropical manakins known for the males’ elaborate courtship displays in forest understories.
  • B. Pupri
    Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
  • C. Bhokar
    Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
  • D. Paraiya
    Paraiya is a village and administrative block in Bihar, India, known as one of the community development blocks within Gaya district.
  • E. Pipavav
    Pipavav is a coastal town in Gujarat, India, known primarily for hosting one of the country’s major private ports and associated shipbuilding and maritime industries.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65db52c8190a218736da17d0153 completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41798b5888190b615d4e23fe3d55e completed May 1, 2026, 3:01 a.m.
NEDg Description generation batch_69f41f16f43c81909f5d36e8b4b0b9c3 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4225a4b5c8190958aaddbd10035b1 completed May 1, 2026, 3:47 a.m.
Created at: April 8, 2026, 9:43 p.m.