Triple

T2509346
Position Surface form Disambiguated ID Type / Status
Subject Hadza language E52662 entity
Predicate hasNeighboringLanguages P16383 FINISHED
Object Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
 E274878 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: Isanzu | Statement: [Hadza language, hasNeighboringLanguages, Isanzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Isanzu
Context triple: [Hadza language, hasNeighboringLanguages, Isanzu]
  • A. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • B. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • C. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • D. Ibura
    Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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: Isanzu
Triple: [Hadza language, hasNeighboringLanguages, Isanzu]
Generated description
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Isanzu
Target entity description: Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • A. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • B. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • C. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • D. Ibura
    Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ed94a08190a172a426c2123f36 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8fa0d88190bc153a460091bcf1 completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af4eaa34e88190a5505b7db380501b completed March 9, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69af4f0fba788190802a14103a93d160 completed March 9, 2026, 10:51 p.m.
Created at: March 6, 2026, 9:46 p.m.