Triple

T18680535
Position Surface form Disambiguated ID Type / Status
Subject Remraam E456720 entity
Predicate roadAccess P385 FINISHED
Object Hessa 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: Hessa Street | Statement: [Remraam, roadAccess, Hessa Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hessa Street
Context triple: [Remraam, roadAccess, Hessa Street]
  • A. Hessa Street chosen
    Hessa Street is a major arterial road in Dubai, United Arab Emirates, connecting several key residential and commercial areas and intersecting with multiple primary highways.
  • B. Aza Street
    Aza Street is a central thoroughfare in Jerusalem’s Rehavia neighborhood, known for its mix of cafes, shops, and residential buildings.
  • C. Yefet Street
    Yefet Street is a major historic thoroughfare running through the Jaffa area of Tel Aviv, known for its Middle Eastern architecture, markets, and vibrant street life.
  • D. Al Rebat Street
    Al Rebat Street is a major roadway in Dubai that serves as an important connector within the city's urban road network.
  • E. Bağdat Avenue
    Bağdat Avenue is a major upscale shopping and residential boulevard on Istanbul’s Asian side, known for its luxury boutiques, cafes, and vibrant street life.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2840548190ababe1cc603b4784 completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:48 a.m.