Triple

T14500950
Position Surface form Disambiguated ID Type / Status
Subject Karnataka E359634 entity
Predicate hasRegion P285 FINISHED
Object Bayaluseeme
Bayaluseeme is a dry, open plain region of the Indian state of Karnataka known for its semi-arid climate and distinctive plateau landscapes.
E1102566 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: Bayaluseeme | Statement: [Karnataka, hasRegion, Bayaluseeme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayaluseeme
Context triple: [Karnataka, hasRegion, Bayaluseeme]
  • A. Gayan
    Gayan is a town in Afghanistan’s southeastern Paktika Province, known for its rural setting near the border with Pakistan.
  • B. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • C. Balaesang
    Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
  • D. Wazhazhe
    Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
  • E. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • 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: Bayaluseeme
Triple: [Karnataka, hasRegion, Bayaluseeme]
Generated description
Bayaluseeme is a dry, open plain region of the Indian state of Karnataka known for its semi-arid climate and distinctive plateau landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bayaluseeme
Target entity description: Bayaluseeme is a dry, open plain region of the Indian state of Karnataka known for its semi-arid climate and distinctive plateau landscapes.
  • A. Gayan
    Gayan is a town in Afghanistan’s southeastern Paktika Province, known for its rural setting near the border with Pakistan.
  • B. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • C. Balaesang
    Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
  • D. Wazhazhe
    Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
  • E. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 10, 2026, 1:21 a.m.