Triple

T16102964
Position Surface form Disambiguated ID Type / Status
Subject Nazca drainage E390667 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Tinguiña
Tinguiña is an archaeological site in Peru associated with the ancient Nazca culture and its distinctive desert settlements.
 E1194274 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: Tinguiña | Statement: [Nazca drainage, hasArchaeologicalSite, Tinguiña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tinguiña
Context triple: [Nazca drainage, hasArchaeologicalSite, Tinguiña]
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Otuocha
    Otuocha is a town in southeastern Nigeria that serves as the administrative headquarters of the Anambra East Local Government Area in Anambra State.
  • C. Villanúa
    Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
  • D. Aicuña
    Aicuña is a small rural village in northwestern Argentina, known for its traditional adobe architecture and preserved cultural heritage.
  • E. Anguinán
    Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
  • 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: Tinguiña
Triple: [Nazca drainage, hasArchaeologicalSite, Tinguiña]
Generated description
Tinguiña is an archaeological site in Peru associated with the ancient Nazca culture and its distinctive desert settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tinguiña
Target entity description: Tinguiña is an archaeological site in Peru associated with the ancient Nazca culture and its distinctive desert settlements.
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Otuocha
    Otuocha is a town in southeastern Nigeria that serves as the administrative headquarters of the Anambra East Local Government Area in Anambra State.
  • C. Villanúa
    Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
  • D. Aicuña
    Aicuña is a small rural village in northwestern Argentina, known for its traditional adobe architecture and preserved cultural heritage.
  • E. Anguinán
    Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6976ec8190b499e99b196b0285 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba007c08190bf4d3cf092abc7dd completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffecb8c71481908b4913bb078b6415 completed May 10, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.