Triple

T9870863
Position Surface form Disambiguated ID Type / Status
Subject Nanjing West Road E239952 entity
Predicate hasLandmark P105 FINISHED
Object Reel Mall E222713 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: Reel Mall | Statement: [Nanjing West Road, hasLandmark, Reel Mall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reel Mall
Context triple: [Nanjing West Road, hasLandmark, Reel Mall]
  • A. Reel Mall chosen
    Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
  • B. Reel Cinemas
    Reel Cinemas is a popular cinema chain in Dubai known for its modern multiplex theaters and premium movie-going experiences.
  • C. Rave Cinemas
    Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
  • D. Roxy Cinema
    Roxy Cinema is a local movie theatre and cultural venue in the town of Ulverston, England.
  • E. Rex Cinema
    Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d62628819094786a49b9bcd09b completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e468630c81908d5c72f70e2c6fe4 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.