Triple

T19100131
Position Surface form Disambiguated ID Type / Status
Subject Ayalon Highway E467509 entity
Predicate passesNear P416 FINISHED
Object Azrieli Center 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: Azrieli Center | Statement: [Ayalon Highway, passesNear, Azrieli Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azrieli Center
Context triple: [Ayalon Highway, passesNear, Azrieli Center]
  • A. 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.
  • B. Maccabi Tower
    Maccabi Tower is a high-rise office building located within the Ramat Gan Diamond Exchange district in Israel, known for its role in the country’s commercial and business skyline.
  • C. Azrieli Studio
    Azrieli Studio is an intimate performance space within Ottawa’s National Arts Centre used for concerts, theatre, and other live events.
  • D. Holon Mediatheque complex
    The Holon Mediatheque complex is a cultural center in Holon, Israel, known for housing libraries, theaters, and museums dedicated to media, design, and the arts.
  • E. Dizengoff Center
    Dizengoff Center is a large, iconic shopping mall and commercial complex in central Tel Aviv, Israel.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36d279081908aeb472cd740c302 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.