Triple

T19100075
Position Surface form Disambiguated ID Type / Status
Subject Gazit-Globe E467508 entity
Predicate tickerSymbol P1447 FINISHED
Object GZT
GZT is the stock ticker symbol for Gazit-Globe, an international real estate investment company focused on owning, developing, and managing income-producing properties.
 E1358302 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: GZT | Statement: [Gazit-Globe, tickerSymbol, GZT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GZT
Context triple: [Gazit-Globe, tickerSymbol, GZT]
  • A. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • B. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • C. GZB
    GZB is the station code for Ghaziabad Junction, a major railway hub in the Indian state of Uttar Pradesh.
  • D. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • E. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • 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: GZT
Triple: [Gazit-Globe, tickerSymbol, GZT]
Generated description
GZT is the stock ticker symbol for Gazit-Globe, an international real estate investment company focused on owning, developing, and managing income-producing properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GZT
Target entity description: GZT is the stock ticker symbol for Gazit-Globe, an international real estate investment company focused on owning, developing, and managing income-producing properties.
  • A. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • B. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • C. GZB
    GZB is the station code for Ghaziabad Junction, a major railway hub in the Indian state of Uttar Pradesh.
  • D. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • E. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36d279081908aeb472cd740c302 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd9b4e0c8190b235b0d7a068a1e7 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcf14788190a75298641ba20e0e completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e10ae8188190a9dce95fa838ff7f completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.