Triple

T7743301
Position Surface form Disambiguated ID Type / Status
Subject Mon State E175561 entity
Predicate containsTown P847 FINISHED
Object Mudon
Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
 E685687 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: Mudon | Statement: [Mon State, containsTown, Mudon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mudon
Context triple: [Mon State, containsTown, Mudon]
  • A. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • B. Mudlij
    Mudlij is a subtribe within the larger Arab tribal grouping of Kinana.
  • C. Modara
    Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
  • D. Modon
    Modon is a historic port city in southwestern Greece, known today as Methoni, that served as a strategic Venetian stronghold and battleground in late medieval and early modern conflicts.
  • E. Maydolong
    Maydolong is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
  • 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: Mudon
Triple: [Mon State, containsTown, Mudon]
Generated description
Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mudon
Target entity description: Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
  • A. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • B. Mudlij
    Mudlij is a subtribe within the larger Arab tribal grouping of Kinana.
  • C. Modara
    Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
  • D. Modon
    Modon is a historic port city in southwestern Greece, known today as Methoni, that served as a strategic Venetian stronghold and battleground in late medieval and early modern conflicts.
  • E. Maydolong
    Maydolong is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70388d58081909aad2c03b4501e78 completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf664390819093c2381ff0f8aaca completed March 29, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8bff4965881909a341db7d234632a completed March 29, 2026, 6 a.m.
Created at: March 27, 2026, 4:07 p.m.