Triple

T6450554
Position Surface form Disambiguated ID Type / Status
Subject Ayacucho E139851 entity
Predicate formerName P65 FINISHED
Object Huamanga
Huamanga is the historical name of the Peruvian city now known as Ayacucho, renowned for its colonial architecture and role in the country’s independence history.
 E594535 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: Huamanga | Statement: [Ayacucho, formerName, Huamanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huamanga
Context triple: [Ayacucho, formerName, Huamanga]
  • A. Alcohuaz
    Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
  • B. Chanchamayo
    Chanchamayo is a city in central Peru known for its lush cloud forests, coffee and citrus production, and role as a gateway to the Amazonian high jungle.
  • C. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • 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: Huamanga
Triple: [Ayacucho, formerName, Huamanga]
Generated description
Huamanga is the historical name of the Peruvian city now known as Ayacucho, renowned for its colonial architecture and role in the country’s independence history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huamanga
Target entity description: Huamanga is the historical name of the Peruvian city now known as Ayacucho, renowned for its colonial architecture and role in the country’s independence history.
  • A. Alcohuaz
    Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
  • B. Chanchamayo
    Chanchamayo is a city in central Peru known for its lush cloud forests, coffee and citrus production, and role as a gateway to the Amazonian high jungle.
  • C. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b4171c8190b0acad78700998ed completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd290c481909f543cc03eee98bf completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64dce99fc819089fbe8925dc52b7a completed March 27, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69c64e5cd1b88190abcdc8af02991d1d completed March 27, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:47 p.m.