Triple

T3755122
Position Surface form Disambiguated ID Type / Status
Subject Burmese calendar E82026 entity
Predicate hasMonth P6433 FINISHED
Object Tabodwe
Tabodwe is the eleventh month of the traditional Burmese lunar calendar, typically falling around February and associated with harvest-related festivals and religious observances in Myanmar.
 E385639 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: Tabodwe | Statement: [Burmese calendar, hasMonth, Tabodwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tabodwe
Context triple: [Burmese calendar, hasMonth, Tabodwe]
  • A. Selebobo
    Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
  • B. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • C. Tallimba
    Tallimba is a small rural locality in the Riverina region of New South Wales, Australia, situated within an agricultural area west of the town of West Wyalong.
  • D. Tamambo
    Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • E. Ozabeni
    Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • 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: Tabodwe
Triple: [Burmese calendar, hasMonth, Tabodwe]
Generated description
Tabodwe is the eleventh month of the traditional Burmese lunar calendar, typically falling around February and associated with harvest-related festivals and religious observances in Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tabodwe
Target entity description: Tabodwe is the eleventh month of the traditional Burmese lunar calendar, typically falling around February and associated with harvest-related festivals and religious observances in Myanmar.
  • A. Selebobo
    Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
  • B. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • C. Tallimba
    Tallimba is a small rural locality in the Riverina region of New South Wales, Australia, situated within an agricultural area west of the town of West Wyalong.
  • D. Tamambo
    Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • E. Ozabeni
    Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb94ffc08190a7fd1ce71a15f787 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50825588190b620950ac1d4f408 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e5cd3b3c8190af6ca28a6772625c completed March 14, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69b4e671e02c819094cae2a3a2abb1b4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:35 p.m.