Triple

T14181332
Position Surface form Disambiguated ID Type / Status
Subject Q1 building E351458 entity
Predicate developer P73 FINISHED
Object Sunland Group E1083701 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: Sunland Group | Statement: [Q1 building, developer, Sunland Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunland Group
Context triple: [Q1 building, developer, Sunland Group]
  • A. Sunland Group chosen
    Sunland Group is an Australian property development company known for designing and constructing high-profile residential and commercial projects.
  • B. Hillside Group
    Hillside Group is a software patterns and agile development community best known for organizing the PLoP (Pattern Languages of Programs) conferences and advancing the use of design patterns in software engineering.
  • C. Arroyo Group
    Arroyo Group is one of the architectural complexes within the ancient Zapotec archaeological site of Mitla in Oaxaca, Mexico.
  • D. Seven Group Holdings
    Seven Group Holdings is an Australian diversified investment and operating company with major interests in media, industrial services, and energy.
  • E. Cayan Group
    Cayan Group is a Saudi real estate development company best known for creating high-profile, architecturally distinctive projects in the Middle East.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61ca3ad88190944850c97760dcbf completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19413bd08190930767abc2c588d4 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:02 a.m.