Triple

T12402907
Position Surface form Disambiguated ID Type / Status
Subject Casuarina Square E296303 entity
Predicate managementCompany P2469 FINISHED
Object GPT Group E981376 NE FINISHED

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: GPT Group | Statement: [Casuarina Square, managementCompany, GPT Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GPT Group
Context triple: [Casuarina Square, managementCompany, GPT Group]
  • A. GPT Group chosen
    GPT Group is an Australian property investment and management company specializing in owning and operating retail shopping centres and commercial real estate.
  • B. GRT Group
    GRT Group is a company best known as the founding entity behind the British transport operator FirstGroup.
  • C. Egis Group
    Egis Group is a global engineering and infrastructure consulting firm that manages and operates transportation facilities such as airports, roads, and urban transit systems.
  • D. GoTo Group
    GoTo Group is a major Indonesian technology conglomerate formed from the merger of Gojek and Tokopedia, offering integrated ride-hailing, e-commerce, and financial services across Southeast Asia.
  • E. Seven Group Holdings
    Seven Group Holdings is an Australian diversified investment and operating company with major interests in media, industrial services, and energy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efc0c7081909fe7d1818a081684 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.