Triple

T569554
Position Surface form Disambiguated ID Type / Status
Subject Federal Realty Investment Trust E13630 entity
Predicate tickerSymbol P1447 FINISHED
Object FRT
FRT is the stock ticker symbol for Federal Realty Investment Trust, a publicly traded real estate investment trust specializing in high-quality retail and mixed-use properties.
 E71252 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: FRT | Statement: [Federal Realty Investment Trust, tickerSymbol, FRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRT
Context triple: [Federal Realty Investment Trust, tickerSymbol, FRT]
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • C. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. FERT
    FERT is the historic motto of the House of Savoy and the Kingdom of Italy, traditionally associated with chivalric virtue and royal authority.
  • E. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • 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: FRT
Triple: [Federal Realty Investment Trust, tickerSymbol, FRT]
Generated description
FRT is the stock ticker symbol for Federal Realty Investment Trust, a publicly traded real estate investment trust specializing in high-quality retail and mixed-use properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRT
Target entity description: FRT is the stock ticker symbol for Federal Realty Investment Trust, a publicly traded real estate investment trust specializing in high-quality retail and mixed-use properties.
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • C. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. FERT
    FERT is the historic motto of the House of Savoy and the Kingdom of Italy, traditionally associated with chivalric virtue and royal authority.
  • E. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efd263008190b82333be5812e6ab completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f03bd8188190af4f84bbd0144db5 completed March 2, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a4fbc3837081909bfea4b632fb4787 completed March 2, 2026, 2:53 a.m.
Created at: March 1, 2026, 7:33 p.m.