Triple

T4413337
Position Surface form Disambiguated ID Type / Status
Subject Ubora Towers E94902 entity
Predicate hasPart P35 FINISHED
Object Ubora Tower 2 E94902 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: Ubora Tower 2 | Statement: [Ubora Towers, hasPart, Ubora Tower 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubora Tower 2
Context triple: [Ubora Towers, hasPart, Ubora Tower 2]
  • A. Ubora Towers chosen
    Ubora Towers is a prominent pair of modern high-rise office and residential buildings located in Dubai’s Business Bay district.
  • B. Tower 2
    Tower 2 is one of the twin Petronas Towers in Kuala Lumpur, Malaysia, notable for housing the main public observation deck overlooking the city.
  • C. Shatterdome
    Shatterdome is a massive coastal command and maintenance complex that serves as the operational base for Jaeger mechs and their pilots in the Pacific Rim universe.
  • D. Osiauri
    Osiauri is a village located within Khashuri Municipality in the Shida Kartli region of central Georgia.
  • E. El Atteuf
    El Atteuf is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136465c48190a5bdab81fe1438c4 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:29 p.m.