Triple

T22180535
Position Surface form Disambiguated ID Type / Status
Subject Fibra Uno E548155 entity
Predicate tickerSymbol P1447 FINISHED
Object BMV:FUNO11 NE NERFINISHED

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: BMV:FUNO11 | Statement: [Fibra Uno, tickerSymbol, BMV:FUNO11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMV:FUNO11
Context triple: [Fibra Uno, tickerSymbol, BMV:FUNO11]
  • A. BMV:FUNO11 chosen
    BMV:FUNO11 is the stock ticker for Fibra Uno, a major Mexican real estate investment trust (FIBRA) listed on the Mexican Stock Exchange.
  • B. BMV
    BMV is the main stock exchange in Mexico, serving as the country’s central marketplace for trading equities and other financial instruments.
  • C. BMV
    BMV is the common abbreviation for the Indiana Bureau of Motor Vehicles, the state agency responsible for driver licensing, vehicle registration, and related motor vehicle services in Indiana.
  • D. BMV
    BMV is the National Rail station code for Bromsgrove railway station in Worcestershire, England.
  • E. BMVg
    BMVg is the commonly used abbreviation for Germany’s Federal Ministry of Defence, the government department responsible for the country’s military and defense policy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa4d4ac8190922b919c15623963 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.