Triple

T26092586
Position Surface form Disambiguated ID Type / Status
Subject Suba, Bogotá E658165 entity
Predicate hasNotableShoppingCenter P16039 FINISHED
Object Centro Comercial Bulevar Niza
Centro Comercial Bulevar Niza is a prominent shopping mall in the Niza neighborhood of Suba, Bogotá, known for its wide range of retail stores, dining options, and entertainment services.
 E1706882 NE FINISHED

How this triple was built (3 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: Centro Comercial Bulevar Niza | Statement: [Suba, Bogotá, hasNotableShoppingCenter, Centro Comercial Bulevar Niza]
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: Centro Comercial Bulevar Niza
Triple: [Suba, Bogotá, hasNotableShoppingCenter, Centro Comercial Bulevar Niza]
Generated description
Centro Comercial Bulevar Niza is a prominent shopping mall in the Niza neighborhood of Suba, Bogotá, known for its wide range of retail stores, dining options, and entertainment services.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNotableShoppingCenter
Context triple: [Suba, Bogotá, hasNotableShoppingCenter, Centro Comercial Bulevar Niza]
  • A. hasShoppingDistrict
    Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
  • B. hasShoppingMall chosen
    Indicates that one entity possesses, contains, or includes a shopping mall within its area or domain.
  • C. hasShoppingDistrictType
    Indicates that an entity is associated with a particular type or category of shopping district.
  • D. hasShoppingDistrictName
    Indicates that an entity’s shopping district is identified by a specific name.
  • E. locationOfShoppingCenter
    Indicates that a specified place is the geographic location where a particular shopping center is situated.
  • F. None of above.

Provenance (6 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_69ee5bbfc4d08190a1b206d0ac3a1e8d completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b3e09308190be78a2cd4b2cd87d completed May 23, 2026, 3:13 a.m.
NEDg Description generation batch_6a111c964b408190bb5820d6f197ca09 completed May 23, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a111d127a988190876a162a3a44540c completed May 23, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: April 26, 2026, 7:48 p.m.