Triple

T6691041
Position Surface form Disambiguated ID Type / Status
Subject Hamra E152626 entity
Predicate hasStreet P959 FINISHED
Object Hamra Street E27429 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: Hamra Street | Statement: [Hamra, hasStreet, Hamra Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamra Street
Context triple: [Hamra, hasStreet, Hamra Street]
  • A. Hamra Street chosen
    Hamra Street is a major commercial and cultural thoroughfare in Beirut, Lebanon, known for its shops, cafes, nightlife, and vibrant urban life.
  • B. Gamaa Street
    Gamaa Street is a major thoroughfare in Giza, Egypt, running alongside Cairo University and serving as one of the city’s key academic and administrative corridors.
  • C. Ghuznee Street
    Ghuznee Street is a central Wellington, New Zealand thoroughfare known for connecting key inner-city areas and lying close to the popular Cuba Street precinct.
  • D. Qasr El Aini Street
    Qasr El Aini Street is a prominent thoroughfare in central Cairo that runs along the Nile and connects key governmental, medical, and educational institutions.
  • E. Kadife Street
    Kadife Street is a popular nightlife and entertainment street in Istanbul’s Kadıköy district, known for its bars, live music venues, and vibrant youth culture.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b15276208190b4c0e90ca337d2b4 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b70ef88190b605c3c70a941cdb completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.