Triple

T9125638
Position Surface form Disambiguated ID Type / Status
Subject Yangon Central Railway Station E218960 entity
Predicate connectsTo P845 FINISHED
Object Bago
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
 E779655 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: Bago | Statement: [Yangon Central Railway Station, connectsTo, Bago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bago
Context triple: [Yangon Central Railway Station, connectsTo, Bago]
  • A. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • B. Bagana
    Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
  • C. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • D. Bako
    Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • E. Bologoye
    Bologoye is a small town in western Russia known as a railway junction and transport hub between Moscow and St. Petersburg.
  • 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: Bago
Triple: [Yangon Central Railway Station, connectsTo, Bago]
Generated description
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bago
Target entity description: Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
  • A. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • B. Bagana
    Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
  • C. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • D. Bako
    Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • E. Bologoye
    Bologoye is a small town in western Russia known as a railway junction and transport hub between Moscow and St. Petersburg.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b8970881909c3b2c67fc131627 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0318ef52c8190bfa0bef6a8d41daa completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d03571c4648190bd546152c61c55a5 completed April 3, 2026, 9:47 p.m.
Created at: March 30, 2026, 7:17 p.m.