Triple

T11093612
Position Surface form Disambiguated ID Type / Status
Subject Moru language E262316 entity
Predicate hasDialect P4251 FINISHED
Object Lakamadi
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
E904337 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: Lakamadi | Statement: [Moru language, hasDialect, Lakamadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakamadi
Context triple: [Moru language, hasDialect, Lakamadi]
  • A. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • B. Lankarama
    Lankarama is an ancient Buddhist stupa in Anuradhapura, Sri Lanka, revered as part of the island’s early monastic and pilgrimage heritage.
  • C. Lahmu
    Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Yamaloka
    Yamaloka is the mythological realm of the dead in Hindu and Buddhist cosmology, presided over by the god Yama, where souls undergo judgment after death.
  • 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: Lakamadi
Triple: [Moru language, hasDialect, Lakamadi]
Generated description
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lakamadi
Target entity description: Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
  • A. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • B. Lankarama
    Lankarama is an ancient Buddhist stupa in Anuradhapura, Sri Lanka, revered as part of the island’s early monastic and pilgrimage heritage.
  • C. Lahmu
    Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Yamaloka
    Yamaloka is the mythological realm of the dead in Hindu and Buddhist cosmology, presided over by the god Yama, where souls undergo judgment after death.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7d3043c8190bdbe0ec51992db0c completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.