Triple

T8768673
Position Surface form Disambiguated ID Type / Status
Subject India–Myanmar border E208400 entity
Predicate hasBorderTownOnMyanmarSide P85286 FINISHED
Object Rikhawdar
Rikhawdar is a town in Myanmar located along the India–Myanmar border, serving as a key local hub for cross-border trade and movement.
 E756073 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: Rikhawdar | Statement: [India–Myanmar border, hasBorderTownOnMyanmarSide, Rikhawdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rikhawdar
Context triple: [India–Myanmar border, hasBorderTownOnMyanmarSide, Rikhawdar]
  • A. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • B. Kishtwari
    Kishtwari is an Indo-Aryan language spoken primarily in the Kishtwar region of Jammu and Kashmir, India.
  • C. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • D. Rupnagar
    Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
  • E. Khanpur
    Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
  • 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: Rikhawdar
Triple: [India–Myanmar border, hasBorderTownOnMyanmarSide, Rikhawdar]
Generated description
Rikhawdar is a town in Myanmar located along the India–Myanmar border, serving as a key local hub for cross-border trade and movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rikhawdar
Target entity description: Rikhawdar is a town in Myanmar located along the India–Myanmar border, serving as a key local hub for cross-border trade and movement.
  • A. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • B. Kishtwari
    Kishtwari is an Indo-Aryan language spoken primarily in the Kishtwar region of Jammu and Kashmir, India.
  • C. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • D. Rupnagar
    Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
  • E. Khanpur
    Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eec49708190ba760d81a7974c50 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51af01e48190af674a03d0768f3b completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf5291147481908179e75547cf981d completed April 3, 2026, 5:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf5331475c8190b3e8c565f0be7dfd completed April 3, 2026, 5:42 a.m.
Created at: March 30, 2026, 6:41 p.m.