Triple

T6326035
Position Surface form Disambiguated ID Type / Status
Subject Ras Beirut E141864 entity
Predicate contains P35 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: [Ras Beirut, contains, Hamra Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamra Street
Context triple: [Ras Beirut, contains, 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. 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.
  • E. El-Wad Street
    El-Wad Street is one of the main thoroughfares in Jerusalem’s Old City, running through the Muslim Quarter and serving as a bustling commercial and pilgrimage route.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e833a0819096000b47e776949d completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60410223081908c1cf3663d4b14c0 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:29 p.m.