Triple

T18653327
Position Surface form Disambiguated ID Type / Status
Subject The Macerich Company E455995 entity
Predicate tickerSymbol P1447 FINISHED
Object MAC
MAC is the stock ticker symbol for The Macerich Company, a major U.S. real estate investment trust specializing in shopping malls and retail properties.
E455995 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: MAC | Statement: [The Macerich Company, tickerSymbol, MAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAC
Context triple: [The Macerich Company, tickerSymbol, MAC]
  • A. MAC
    MAC is the acronym for the Military Armistice Commission, the body responsible for supervising the implementation of the Korean Armistice Agreement.
  • B. MAC
    The MAC is a regional museum in Spokane, Washington, featuring art, history, and cultural exhibits focused on the Inland Northwest.
  • C. MAC
    MAC is the common abbreviation for the Macon Bacon, a collegiate summer baseball team based in Macon, Georgia.
  • D. MAC
    MAC is the ICAO airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
  • E. MAC
    The MAC is an NCAA Division III athletic conference in the Middle Atlantic region of the United States, sponsoring intercollegiate sports among its member colleges and universities.
  • 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: MAC
Triple: [The Macerich Company, tickerSymbol, MAC]
Generated description
MAC is the stock ticker symbol for The Macerich Company, a major U.S. real estate investment trust specializing in shopping malls and retail properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MAC
Target entity description: MAC is the stock ticker symbol for The Macerich Company, a major U.S. real estate investment trust specializing in shopping malls and retail properties.
  • A. MAC chosen
    MAC is the stock ticker symbol for The Macerich Company, a real estate investment trust specializing in shopping centers and retail properties in the United States.
  • B. MAC
    MAC is the commonly used abbreviation for the Mid-Atlantic Center for the Arts & Humanities, a cultural organization dedicated to preserving and promoting the historic and artistic heritage of the Mid-Atlantic region.
  • C. MAC
    MAC is the IATA airport code for Macon Downtown Airport, a public airport serving the city of Macon, Georgia, in the United States.
  • D. MAC
    MAC is the ICAO airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
  • E. MAC
    MAC is the common abbreviation for the Macon Mayhem, a professional minor league ice hockey team based in Macon, Georgia.
  • F. None of above.

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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55013997881909eee52c0a7335f4b completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05171ec7708190be7531acb3a265cc completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a05182b38848190ad50785ba1a884ea completed May 14, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0518e6358c8190ac5f67300d63f852 completed May 14, 2026, 12:35 a.m.
Created at: April 10, 2026, 11:47 a.m.