Triple

T13149996
Position Surface form Disambiguated ID Type / Status
Subject Azrieli Center E312438 entity
Predicate hasPart P35 FINISHED
Object Azrieli Mall E312438 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: Azrieli Mall | Statement: [Azrieli Center, hasPart, Azrieli Mall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azrieli Mall
Context triple: [Azrieli Center, hasPart, Azrieli Mall]
  • A. Ayalon Mall
    Ayalon Mall is a major shopping and entertainment center located in Ramat Gan, Israel, known as one of the country’s first large-scale malls.
  • B. Azrieli Center chosen
    Azrieli Center is a prominent commercial and office complex in Tel Aviv, Israel, known for its trio of distinctive high-rise towers and large shopping mall.
  • C. Haifa Mall
    Haifa Mall is a major shopping center in Haifa, Israel, featuring a wide range of retail stores, dining options, and entertainment facilities.
  • D. Ramat Gan Diamond Exchange complex
    The Ramat Gan Diamond Exchange complex is a major commercial district in Ramat Gan, Israel, serving as one of the world’s largest centers for diamond trading and related businesses.
  • E. Dizengoff Square
    Dizengoff Square is a central public plaza in Tel Aviv, Israel, known as a historic urban landmark and social hub of the city.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2894848190b5853127ef04932c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:11 p.m.