Triple

T5819163
Position Surface form Disambiguated ID Type / Status
Subject Fibra Uno E129064 entity
Predicate abbreviation P43 FINISHED
Object FUNO
FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
 E548154 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: FUNO | Statement: [Fibra Uno, abbreviation, FUNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FUNO
Context triple: [Fibra Uno, abbreviation, FUNO]
  • A. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • B. FUN!
    "FUN!" is a track by American rapper Vince Staples that showcases his sharp lyricism and darkly humorous commentary over an energetic, experimental production.
  • C. Fune
    Fune is a local government area in northeastern Nigeria known for its predominantly rural communities and agriculture-based economy within Yobe State.
  • D. FUN
    FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
  • E. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • 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: FUNO
Triple: [Fibra Uno, abbreviation, FUNO]
Generated description
FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FUNO
Target entity description: FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • A. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • B. FUN!
    "FUN!" is a track by American rapper Vince Staples that showcases his sharp lyricism and darkly humorous commentary over an energetic, experimental production.
  • C. Fune
    Fune is a local government area in northeastern Nigeria known for its predominantly rural communities and agriculture-based economy within Yobe State.
  • D. FUN
    FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
  • E. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e477c08190a8bd37c879e6b6b8 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0990d00e88190b9f2b34a8cedda3a completed March 23, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.