Triple

T10697354
Position Surface form Disambiguated ID Type / Status
Subject Murle language E252178 entity
Predicate hasAlternativeName P39 FINISHED
Object Mourle
Mourle is an alternative name for the Murle language spoken by the Murle people of South Sudan and neighboring regions.
E880830 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: Mourle | Statement: [Murle language, hasAlternativeName, Mourle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mourle
Context triple: [Murle language, hasAlternativeName, Mourle]
  • A. Meyronnes
    Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
  • B. Mauguio
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • C. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Samoreau
    Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
  • 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: Mourle
Triple: [Murle language, hasAlternativeName, Mourle]
Generated description
Mourle is an alternative name for the Murle language spoken by the Murle people of South Sudan and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mourle
Target entity description: Mourle is an alternative name for the Murle language spoken by the Murle people of South Sudan and neighboring regions.
  • A. Meyronnes
    Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
  • B. Mauguio
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • C. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Samoreau
    Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd89390c8190969ab2b4a79d5818 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998e447e0819098e839e9e121a21f completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:12 p.m.