Triple

T5819166
Position Surface form Disambiguated ID Type / Status
Subject Fibra Uno E129064 entity
Predicate primaryBusinessActivity P40655 FINISHED
Object ownership of income-producing real estate LITERAL FINISHED

How this triple was built (2 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: ownership of income-producing real estate | Statement: [Fibra Uno, primaryBusinessActivity, ownership of income-producing real estate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryBusinessActivity
Context triple: [Fibra Uno, primaryBusinessActivity, ownership of income-producing real estate]
  • A. placeOfBusinessActivity
    Indicates the type or nature of business activity that is conducted at a particular place or location.
  • B. commercialActivity
    Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
  • C. majorActivity chosen
    Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
  • D. primaryTrade
    Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
  • E. businessFunction
    Indicates the specific role, activity, or operational function that an entity performs within a business context.
  • F. None of above.

Provenance (3 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0333fdd7081908d829265caa2ac11 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:53 p.m.