Triple

T20945970
Position Surface form Disambiguated ID Type / Status
Subject Mamilla Alrov Center E515843 entity
Predicate nearLandmark P3449 FINISHED
Object King David Street 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: King David Street | Statement: [Mamilla Alrov Center, nearLandmark, King David Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King David Street
Context triple: [Mamilla Alrov Center, nearLandmark, King David Street]
  • A. King David Street chosen
    King David Street is a major historic thoroughfare in central Jerusalem, lined with prominent hotels, cultural sites, and government buildings.
  • B. Haatzmaut Street
    Haatzmaut Street is a central thoroughfare in downtown Haifa, Israel, known for its mix of commercial activity, historic buildings, and proximity to the city’s port.
  • C. Amiad Street
    Amiad Street is a central thoroughfare in Jaffa’s historic Flea Market area in Tel Aviv-Yafo, known for its vintage shops, cafes, and lively atmosphere.
  • D. Ben Yehuda Street
    Ben Yehuda Street is a central pedestrian thoroughfare and popular shopping and nightlife area in downtown Jerusalem.
  • E. HaYarkon Street
    HaYarkon Street is a major coastal thoroughfare in Tel Aviv, Israel, running parallel to the Mediterranean shoreline and lined with hotels, restaurants, and tourist attractions.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad7f67481908675e76736f5e0c3 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:56 p.m.