Triple

T9842195
Position Surface form Disambiguated ID Type / Status
Subject Chindwin River E239252 entity
Predicate hasMouthNear P350 FINISHED
Object Pakokku
Pakokku is a major town in central Myanmar, known as a regional trading hub on the Irrawaddy River.
 E825381 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: Pakokku | Statement: [Chindwin River, hasMouthNear, Pakokku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pakokku
Context triple: [Chindwin River, hasMouthNear, Pakokku]
  • A. Nakkila
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • B. Houtu
    Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • C. Nayki
    Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
  • D. Kingissepa
    Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
  • E. Muko
    Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
  • 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: Pakokku
Triple: [Chindwin River, hasMouthNear, Pakokku]
Generated description
Pakokku is a major town in central Myanmar, known as a regional trading hub on the Irrawaddy River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pakokku
Target entity description: Pakokku is a major town in central Myanmar, known as a regional trading hub on the Irrawaddy River.
  • A. Nakkila
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • B. Houtu
    Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • C. Nayki
    Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
  • D. Kingissepa
    Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
  • E. Muko
    Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34e3420819084bb31170e643cd0 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d9673c8190ada27bef9220798d completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6815e28819081788393cda63bc0 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d74e7a148190a9470745bfd7ad42 completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:33 p.m.