Triple

T14937846
Position Surface form Disambiguated ID Type / Status
Subject Morbi district E372442 entity
Predicate containsTown P847 FINISHED
Object Tankara
Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
 E1129807 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: Tankara | Statement: [Morbi district, containsTown, Tankara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tankara
Context triple: [Morbi district, containsTown, Tankara]
  • A. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • B. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • C. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • D. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • E. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • 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: Tankara
Triple: [Morbi district, containsTown, Tankara]
Generated description
Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tankara
Target entity description: Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
  • A. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • B. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • C. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • D. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • E. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64904d88190b6b4140da8e8199d completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd69df481908d8b1a5e6add0a7b completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8c6dc58c819096551e9f48abf2f6 completed May 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69fe901a32a48190a8b523f02804922c completed May 9, 2026, 1:38 a.m.
Created at: April 10, 2026, 2:38 a.m.