Triple

T19096267
Position Surface form Disambiguated ID Type / Status
Subject Dhaka Cantonment E467412 entity
Predicate borderedBy P224 FINISHED
Object Uttara
Uttara is a major residential and commercial suburb in the northern part of Dhaka, Bangladesh, known for its planned sectors and proximity to the airport.
E1358711 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: Uttara | Statement: [Dhaka Cantonment, borderedBy, Uttara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uttara
Context triple: [Dhaka Cantonment, borderedBy, Uttara]
  • A. Uttara chosen
    Uttara is a prince of the Matsya kingdom in the Mahabharata, known for serving as Arjuna’s charioteer during the battle against the Kaurava forces in the Virata Parva.
  • B. Uttara
    Uttara is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Uttara
    Uttara is an acclaimed Indian Bengali film directed by Buddhadeb Dasgupta, noted for its allegorical exploration of violence, faith, and rural life.
  • D. Uttaradit
    Uttaradit is a provincial capital in northern Thailand known as a regional transport hub and gateway to nearby historical and natural attractions.
  • E. Uttarpara
    Uttarpara is a historic suburban town in West Bengal, India, known for its cultural heritage, educational institutions, and proximity to Kolkata along the Hooghly River.
  • F. None of above.
  • 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: Uttara
Triple: [Dhaka Cantonment, borderedBy, Uttara]
Generated description
Uttara is a major residential and commercial suburb in the northern part of Dhaka, Bangladesh, known for its planned sectors and proximity to the airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uttara
Target entity description: Uttara is a major residential and commercial suburb in the northern part of Dhaka, Bangladesh, known for its planned sectors and proximity to the airport.
  • A. Uttara
    Uttara is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • B. Uttara
    Uttara is a prince of the Matsya kingdom in the Mahabharata, known for serving as Arjuna’s charioteer during the battle against the Kaurava forces in the Virata Parva.
  • C. Uttara
    Uttara is an acclaimed Indian Bengali film directed by Buddhadeb Dasgupta, noted for its allegorical exploration of violence, faith, and rural life.
  • D. Uttaradit
    Uttaradit is a provincial capital in northern Thailand known as a regional transport hub and gateway to nearby historical and natural attractions.
  • E. Uttarpara
    Uttarpara is a historic suburban town in West Bengal, India, known for its cultural heritage, educational institutions, and proximity to Kolkata along the Hooghly River.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd96b8b48190a3c5b14122380b68 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcd85b08190b0ec431590396dbb completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e09f607c81909c9ef31c4e1b47b1 completed May 14, 2026, 2:47 p.m.
Created at: April 10, 2026, 12:04 p.m.