Triple

T8601004
Position Surface form Disambiguated ID Type / Status
Subject Belagavi district E203672 entity
Predicate containsTown P847 FINISHED
Object Nippani
Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
 E746616 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: Nippani | Statement: [Belagavi district, containsTown, Nippani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nippani
Context triple: [Belagavi district, containsTown, Nippani]
  • A. Nipponia
    Nipponia is a bird genus in the ibis family, best known for including the endangered crested ibis.
  • B. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • C. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • D. Nanko-kita
    Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
  • E. Nihondaira
    Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
  • 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: Nippani
Triple: [Belagavi district, containsTown, Nippani]
Generated description
Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nippani
Target entity description: Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • A. Nipponia
    Nipponia is a bird genus in the ibis family, best known for including the endangered crested ibis.
  • B. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • C. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • D. Nanko-kita
    Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
  • E. Nihondaira
    Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbb11140819081bde8a1565aad4a completed April 2, 2026, 6:55 p.m.
NEDg Description generation batch_69cebda8e7f4819083b6885f874554f1 completed April 2, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69cebe5df4888190bf741e332af3e21e completed April 2, 2026, 7:07 p.m.
Created at: March 30, 2026, 6:24 p.m.