Triple

T6564590
Position Surface form Disambiguated ID Type / Status
Subject Paama E153869 entity
Predicate hasDialects P4251 FINISHED
Object Lulep
Lulep is a regional dialect of the Paama language spoken on Paama Island in Vanuatu.
 E603805 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: Lulep | Statement: [Paama, hasDialects, Lulep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lulep
Context triple: [Paama, hasDialects, Lulep]
  • A. Namdrik
    Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
  • B. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • C. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • D. Barka Kunama
    Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
  • E. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • 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: Lulep
Triple: [Paama, hasDialects, Lulep]
Generated description
Lulep is a regional dialect of the Paama language spoken on Paama Island in Vanuatu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lulep
Target entity description: Lulep is a regional dialect of the Paama language spoken on Paama Island in Vanuatu.
  • A. Namdrik
    Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
  • B. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • C. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • D. Barka Kunama
    Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
  • E. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d828620081909c1b4dfaa96efd62 completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8a3d194819080f33e179a8a8679 completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 1:52 p.m.