Triple

T7400804
Position Surface form Disambiguated ID Type / Status
Subject Villavicencio E170741 entity
Predicate departmentCode P9698 FINISHED
Object META
META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
 E662267 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: META | Statement: [Villavicencio, departmentCode, META]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: META
Context triple: [Villavicencio, departmentCode, META]
  • A. Meta
    Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
  • B. Meta
    Meta is a coastal town on Italy’s Sorrento Peninsula, known for its beaches, cliffs, and proximity to Naples and the Amalfi Coast.
  • C. Meta
    Meta is a figure in Greek mythology known as the first wife of Aegeus, the king of Athens and father of Theseus.
  • D. MET
    MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
  • E. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • 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: META
Triple: [Villavicencio, departmentCode, META]
Generated description
META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: META
Target entity description: META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
  • A. Meta
    Meta is a figure in Greek mythology known as the first wife of Aegeus, the king of Athens and father of Theseus.
  • B. Meta
    Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
  • C. Meta
    Meta is a coastal town on Italy’s Sorrento Peninsula, known for its beaches, cliffs, and proximity to Naples and the Amalfi Coast.
  • D. MET
    MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
  • E. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24f6b7c81908cb61395239d03a0 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811c9c5e48190a610d890780c7aa4 completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8128e49948190822787e76b1663a6 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:10 p.m.