Triple

T8145200
Position Surface form Disambiguated ID Type / Status
Subject Lakalai language E190191 entity
Predicate hasEthnologueEntry P19233 FINISHED
Object Lakalai
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
 E715718 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: Lakalai | Statement: [Lakalai language, hasEthnologueEntry, Lakalai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lakalai
Context triple: [Lakalai language, hasEthnologueEntry, Lakalai]
  • A. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • B. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • C. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • D. Labungkari
    Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
  • E. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • 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: Lakalai
Triple: [Lakalai language, hasEthnologueEntry, Lakalai]
Generated description
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lakalai
Target entity description: Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • A. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • B. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • C. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • D. Labungkari
    Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
  • E. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4445f1948190b8d319b60dd47f65 completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc30f1fc48190991e0caa9ea6e735 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd7eca618819081e0c5452c8b1960 completed April 1, 2026, 8:31 a.m.
Created at: March 30, 2026, 5:36 p.m.