Triple

T18868821
Position Surface form Disambiguated ID Type / Status
Subject Yenangyaung oilfields E461512 entity
Predicate nearbyCity P350 FINISHED
Object Chauk
Chauk is a town in central Myanmar known for its proximity to major oilfields and its role in the country's petroleum industry.
E1347188 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: Chauk | Statement: [Yenangyaung oilfields, nearbyCity, Chauk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chauk
Context triple: [Yenangyaung oilfields, nearbyCity, Chauk]
  • A. Amarapura
    Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
  • B. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • C. Paungdale
    Paungdale is a town in Myanmar notable as the birthplace of former military leader and head of state Ne Win.
  • D. Tazaungdaing
    Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
  • E. Nyaungshwe
    Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
  • 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: Chauk
Triple: [Yenangyaung oilfields, nearbyCity, Chauk]
Generated description
Chauk is a town in central Myanmar known for its proximity to major oilfields and its role in the country's petroleum industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chauk
Target entity description: Chauk is a town in central Myanmar known for its proximity to major oilfields and its role in the country's petroleum industry.
  • A. Amarapura
    Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
  • B. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • C. Paungdale
    Paungdale is a town in Myanmar notable as the birthplace of former military leader and head of state Ne Win.
  • D. Tazaungdaing
    Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
  • E. Nyaungshwe
    Nyaungshwe is a popular lakeside town in Myanmar that serves as the main gateway and tourist hub for visiting Inle Lake in Shan State.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a7e1308190a1667d2d2d43df6c completed April 20, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575baf168819088723fa9e61008f4 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a05770a92988190b3bda17b119cf8de completed May 14, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0577a07ecc8190a0b540e34b72d62f completed May 14, 2026, 7:20 a.m.
Created at: April 10, 2026, 11:57 a.m.