Triple

T23414470
Position Surface form Disambiguated ID Type / Status
Subject Kuanzhai Alleys E560164 entity
Predicate hasPart P35 FINISHED
Object Kuan Alley 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: Kuan Alley | Statement: [Kuanzhai Alleys, hasPart, Kuan Alley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuan Alley
Context triple: [Kuanzhai Alleys, hasPart, Kuan Alley]
  • A. Kuan Alley chosen
    Kuan Alley is one of the historic lanes within Chengdu’s Kuanzhai Alleys, known for its traditional courtyard architecture and preserved old-town atmosphere.
  • B. Fan Tan Alley
    Fan Tan Alley is a historic, narrow passageway in Victoria’s Chinatown known for its tightly packed shops and status as one of the skinniest streets in Canada.
  • C. Ta Hien Street
    Ta Hien Street is a famous narrow nightlife street in Hanoi’s Old Quarter known for its bustling beer bars, street food, and vibrant backpacker atmosphere.
  • D. Ko Shing Street
    Ko Shing Street is a traditional wholesale and retail street in Sheung Wan, Hong Kong, known for its many shops selling Chinese herbal medicine and dried seafood.
  • E. Midaq Alley
    Midaq Alley is a novel by Egyptian Nobel laureate Naguib Mahfouz that portrays the intertwined lives of residents in a poor Cairo neighborhood during the 1940s.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a514b1d08190bbde2c3714c996fd completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.