Triple

T21636248
Position Surface form Disambiguated ID Type / Status
Subject Ebène, Mauritius E533966 entity
Predicate majorLandmark P22581 FINISHED
Object Ebène Cyber Tower 2 NE NERFINISHED

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: Ebène Cyber Tower 2 | Statement: [Ebène, Mauritius, majorLandmark, Ebène Cyber Tower 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebène Cyber Tower 2
Context triple: [Ebène, Mauritius, majorLandmark, Ebène Cyber Tower 2]
  • A. Ebène Cyber Tower 1 chosen
    Ebène Cyber Tower 1 is a prominent high-rise office and technology hub that serves as an iconic symbol of Mauritius’s Ebène Cybercity business district.
  • B. Cyber Towers
    Cyber Towers is a prominent IT office complex in Hyderabad, India, widely recognized as the iconic gateway building of the HITEC City technology hub.
  • C. Ebène Cybercity
    Ebène Cybercity is a major high-tech business and IT hub in Mauritius, developed as a modern cybercity to host technology companies, financial services, and corporate offices.
  • D. De-Kastri terminal
    De-Kastri terminal is an oil export facility in Russia’s Khabarovsk Krai that serves as a major loading point for crude produced from the Sakhalin offshore fields.
  • E. Evolution Tower
    Evolution Tower is a distinctive twisting skyscraper in Moscow’s International Business Center, known for its helical design and modern office and commercial spaces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538ddb088190a3cba6fdc84c0ae8 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.