Triple

T15648221
Position Surface form Disambiguated ID Type / Status
Subject Banaskantha district E376236 entity
Predicate hasTown P847 FINISHED
Object Deesa
Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
E1169430 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: Deesa | Statement: [Banaskantha district, hasTown, Deesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deesa
Context triple: [Banaskantha district, hasTown, Deesa]
  • A. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • B. Khorab
    Khorab is a historic site in present-day Namibia known as the location where German colonial forces surrendered to South African troops during the South-West Africa Campaign of World War I.
  • C. D’Qar
    D’Qar is a remote jungle-covered planet in the Star Wars universe that served as the primary hidden headquarters of the Resistance during its conflict with the First Order.
  • D. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • E. Sahariya
    Sahariya is an indigenous tribal community of central India, primarily found in Madhya Pradesh and Rajasthan, known for its distinct culture, language, and traditionally forest-based livelihood.
  • 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: Deesa
Triple: [Banaskantha district, hasTown, Deesa]
Generated description
Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deesa
Target entity description: Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
  • A. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • B. Khorab
    Khorab is a historic site in present-day Namibia known as the location where German colonial forces surrendered to South African troops during the South-West Africa Campaign of World War I.
  • C. D’Qar
    D’Qar is a remote jungle-covered planet in the Star Wars universe that served as the primary hidden headquarters of the Resistance during its conflict with the First Order.
  • D. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • E. Sahariya
    Sahariya is an indigenous tribal community of central India, primarily found in Madhya Pradesh and Rajasthan, known for its distinct culture, language, and traditionally forest-based livelihood.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:15 a.m.