Triple

T17720566
Position Surface form Disambiguated ID Type / Status
Subject General Growth Properties E442322 entity
Predicate tickerSymbol P1447 FINISHED
Object GGP
GGP is a publicly traded real estate investment trust best known for owning and operating major shopping malls and retail properties across the United States.
 E1284528 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: GGP | Statement: [General Growth Properties, tickerSymbol, GGP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GGP
Context triple: [General Growth Properties, tickerSymbol, GGP]
  • A. GGs
    GGs is a rebellious street gang of inline skaters and graffiti artists in the Jet Set Radio video game series, known for tagging city walls and battling rival crews in a stylized, cel-shaded Tokyo-to.
  • B. GPP
    GPP is the parliamentary group of Spain’s conservative People’s Party in the Senate.
  • C. GPP
    GPP is a fictional technology from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" universe that endows machines with human-like personalities and emotions.
  • D. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • E. GP
    A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.
  • 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: GGP
Triple: [General Growth Properties, tickerSymbol, GGP]
Generated description
GGP is a publicly traded real estate investment trust best known for owning and operating major shopping malls and retail properties across the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GGP
Target entity description: GGP is a publicly traded real estate investment trust best known for owning and operating major shopping malls and retail properties across the United States.
  • A. GGs
    GGs is a rebellious street gang of inline skaters and graffiti artists in the Jet Set Radio video game series, known for tagging city walls and battling rival crews in a stylized, cel-shaded Tokyo-to.
  • B. GPP
    GPP is the parliamentary group of Spain’s conservative People’s Party in the Senate.
  • C. GPP
    GPP is a fictional technology from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" universe that endows machines with human-like personalities and emotions.
  • D. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • E. GP
    A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4748520a881908dc3446d33236ff7 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02302defe081909eaeb1f90d497561 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0231835c748190b6908d6ddb5f25b4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0232033f788190b0be2d3976ed57e4 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:07 a.m.