Triple

T4322398
Position Surface form Disambiguated ID Type / Status
Subject Maiduan languages E96548 entity
Predicate glottologName P6521 FINISHED
Object Maiduan
Maiduan is a small family of Native American languages historically spoken in northeastern California by the Maidu people.
 E432296 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: Maiduan | Statement: [Maiduan languages, glottologName, Maiduan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maiduan
Context triple: [Maiduan languages, glottologName, Maiduan]
  • A. Badajoz
    Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
  • B. Burgos
    Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
  • C. Sagunto
    Sagunto is a historic coastal town in eastern Spain renowned for its ancient Roman theatre and hilltop castle overlooking the Mediterranean.
  • D. Baeza
    Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
  • E. Segovia
    Segovia is a historic Spanish city in the region of Castile and León, renowned for its Roman aqueduct, medieval architecture, and well-preserved old town.
  • 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: Maiduan
Triple: [Maiduan languages, glottologName, Maiduan]
Generated description
Maiduan is a small family of Native American languages historically spoken in northeastern California by the Maidu people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maiduan
Target entity description: Maiduan is a small family of Native American languages historically spoken in northeastern California by the Maidu people.
  • A. Badajoz
    Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
  • B. Burgos
    Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
  • C. Sagunto
    Sagunto is a historic coastal town in eastern Spain renowned for its ancient Roman theatre and hilltop castle overlooking the Mediterranean.
  • D. Baeza
    Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
  • E. Segovia
    Segovia is a historic Spanish city in the region of Castile and León, renowned for its Roman aqueduct, medieval architecture, and well-preserved old town.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351177eb88190b89fa49a88add5e8 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09165a8819089fbb9b9ed4c82ff completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d4607a688190a3a7352579ea5ee7 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d51068dc819099ac28361188dcc4 completed March 14, 2026, 9:37 p.m.
Created at: March 12, 2026, 11:12 p.m.