Triple

T4666215
Position Surface form Disambiguated ID Type / Status
Subject Diamond Tower E102851 entity
Predicate near P350 FINISHED
Object Moshe Aviv Tower E102850 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: Moshe Aviv Tower | Statement: [Diamond Tower, near, Moshe Aviv Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moshe Aviv Tower
Context triple: [Diamond Tower, near, Moshe Aviv Tower]
  • A. Moshe Aviv Tower chosen
    Moshe Aviv Tower is a prominent skyscraper in Israel, known as one of the tallest buildings in the country and a key feature of the Ramat Gan skyline.
  • B. Azrieli Center
    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. Shimshon Tower
    Shimshon Tower is a prominent office skyscraper in Israel’s Diamond Exchange District, known for housing businesses connected to the country’s diamond and commercial trade.
  • D. Sha'ar HeHadash
    Sha'ar HeHadash is the Hebrew name for the New Gate, one of the historic gates in the Old City walls of Jerusalem.
  • E. Al Hamra Tower
    Al Hamra Tower is a prominent skyscraper in Kuwait City known for its distinctive twisting design and status as one of the tallest buildings in Kuwait.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104581548190b3f2a294770015fa completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:15 p.m.