Triple

T18100966
Position Surface form Disambiguated ID Type / Status
Subject Ibn Gabirol Street E433212 entity
Predicate hasNearby P350 FINISHED
Object Tel Aviv City Hall 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: Tel Aviv City Hall | Statement: [Ibn Gabirol Street, hasNearby, Tel Aviv City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tel Aviv City Hall
Context triple: [Ibn Gabirol Street, hasNearby, Tel Aviv City Hall]
  • A. Tel Aviv-Yafo City Hall chosen
    Tel Aviv-Yafo City Hall is the main administrative and governmental building of the city of Tel Aviv-Yafo, housing its municipal offices and leadership.
  • B. Ramat Gan City Hall
    Ramat Gan City Hall is the main administrative building and government headquarters of the city of Ramat Gan in Israel.
  • C. Haifa City Hall
    Haifa City Hall is the main municipal government building of Haifa, Israel, serving as the administrative and political center of the city.
  • D. Jerusalem City Hall
    Jerusalem City Hall is the main municipal government complex of Jerusalem, housing the offices and chambers of the city’s administration in the historic city center.
  • E. 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.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb5e6208190b3c3cce3b95d66ad completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.