Triple

T17306975
Position Surface form Disambiguated ID Type / Status
Subject Muristan E420187 entity
Predicate near P350 FINISHED
Object Christian Quarter Road E1259950 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: Christian Quarter Road | Statement: [Muristan, near, Christian Quarter Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Quarter Road
Context triple: [Muristan, near, Christian Quarter Road]
  • A. Christian Quarter Road chosen
    Christian Quarter Road is a main street in Jerusalem’s Old City that runs through the Christian Quarter, lined with churches, shops, and historic sites.
  • 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. 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.
  • D. Divisadero Street
    Divisadero Street is a major north–south thoroughfare in San Francisco known for its mix of residential neighborhoods, shops, restaurants, and nightlife.
  • E. Jordan Road
    Jordan Road is a major thoroughfare in Hong Kong’s Kowloon Peninsula, known for its dense urban streetscape, shops, and proximity to key transport links.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4390005dc81908345ebb6dd970582 completed April 19, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e0c1b881908aa2b6b4d8ac04b6 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.