Triple

T6469103
Position Surface form Disambiguated ID Type / Status
Subject Mar Mikhael E142302 entity
Predicate locatedAlong P2409 FINISHED
Object Armenia Street
Armenia Street is a lively thoroughfare in Beirut, Lebanon, known for its vibrant nightlife, bars, restaurants, and street art.
 E647908 NE FINISHED

How this triple was built (4 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: Armenia Street | Statement: [Mar Mikhael, locatedAlong, Armenia Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armenia Street
Context triple: [Mar Mikhael, locatedAlong, Armenia Street]
  • A. Agron Street
    Agron Street is a central street in Jerusalem known for its proximity to major cultural, governmental, and historic sites in the city center.
  • B. Bauman Street
    Bauman Street is a central pedestrian thoroughfare in Kazan, Russia, known for its historic architecture, shops, cafes, and cultural attractions.
  • C. Judah Street
    Judah Street is a major east–west thoroughfare in San Francisco’s Sunset District, known for carrying the N Judah Muni light rail line.
  • D. Laurel Street
    Laurel Street is a primary commercial and thoroughfare corridor running through the Laurel Heights neighborhood.
  • E. Poland Street
    Poland Street is a street in London’s Soho district, known for its central location and mix of shops, offices, and cultural venues.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Armenia Street
Triple: [Mar Mikhael, locatedAlong, Armenia Street]
Generated description
Armenia Street is a lively thoroughfare in Beirut, Lebanon, known for its vibrant nightlife, bars, restaurants, and street art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armenia Street
Target entity description: Armenia Street is a lively thoroughfare in Beirut, Lebanon, known for its vibrant nightlife, bars, restaurants, and street art.
  • A. Agron Street
    Agron Street is a central street in Jerusalem known for its proximity to major cultural, governmental, and historic sites in the city center.
  • B. Bauman Street
    Bauman Street is a central pedestrian thoroughfare in Kazan, Russia, known for its historic architecture, shops, cafes, and cultural attractions.
  • C. Judah Street
    Judah Street is a major east–west thoroughfare in San Francisco’s Sunset District, known for carrying the N Judah Muni light rail line.
  • D. Laurel Street
    Laurel Street is a primary commercial and thoroughfare corridor running through the Laurel Heights neighborhood.
  • E. Poland Street
    Poland Street is a street in London’s Soho district, known for its central location and mix of shops, offices, and cultural venues.
  • F. None of above. chosen

Provenance (5 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf66c0308190a09736eafe61c966 completed March 28, 2026, 11:45 a.m.
NEDg Description generation batch_69c7bff630d88190a8c8d4194a1fe763 completed March 28, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7c05fd088819083df4c7167216ca2 completed March 28, 2026, 11:49 a.m.
Created at: March 22, 2026, 4:49 p.m.