Triple

T11589252
Position Surface form Disambiguated ID Type / Status
Subject Khargone district E274834 entity
Predicate containsTown P847 FINISHED
Object Gogawa
Gogawa is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
E954053 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: Gogawa | Statement: [Khargone district, containsTown, Gogawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gogawa
Context triple: [Khargone district, containsTown, Gogawa]
  • A. Ogawa
    Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
  • B. Taihe
    Taihe was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
  • C. Nakagawa
    Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
  • D. Sawata
    Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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: Gogawa
Triple: [Khargone district, containsTown, Gogawa]
Generated description
Gogawa is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gogawa
Target entity description: Gogawa is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
  • A. Ogawa
    Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
  • B. Taihe
    Taihe was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
  • C. Nakagawa
    Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
  • D. Sawata
    Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f3a76288190a83097ef3da8a28f completed May 1, 2026, 5:50 a.m.
NEDg Description generation batch_69f448f506a48190a0f1b89ad570fad5 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44ad185cc8190893cf663cfed6980 completed May 1, 2026, 6:40 a.m.
Created at: April 8, 2026, 9:38 p.m.