Triple

T2167645
Position Surface form Disambiguated ID Type / Status
Subject Wari Empire E46946 entity
Predicate majorSite P2462 FINISHED
Object Pikillaqta
Pikillaqta is a large pre-Inca archaeological complex in Peru known for its planned urban layout and association with the Wari civilization.
 E239697 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: Pikillaqta | Statement: [Wari Empire, majorSite, Pikillaqta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pikillaqta
Context triple: [Wari Empire, majorSite, Pikillaqta]
  • A. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • B. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • C. Tacna
    Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
  • D. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • E. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • 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: Pikillaqta
Triple: [Wari Empire, majorSite, Pikillaqta]
Generated description
Pikillaqta is a large pre-Inca archaeological complex in Peru known for its planned urban layout and association with the Wari civilization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pikillaqta
Target entity description: Pikillaqta is a large pre-Inca archaeological complex in Peru known for its planned urban layout and association with the Wari civilization.
  • A. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • B. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • C. Tacna
    Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
  • D. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • E. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5a2055488190855ac173d1e3ad11 completed March 9, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a810b588190a1bb538be46b2010 completed March 9, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:45 p.m.