Triple

T9163270
Position Surface form Disambiguated ID Type / Status
Subject Haizhu Square Station E219881 entity
Predicate nearbyAttraction P3449 FINISHED
Object Haizhu Square E783127 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: Haizhu Square | Statement: [Haizhu Square Station, nearbyAttraction, Haizhu Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haizhu Square
Context triple: [Haizhu Square Station, nearbyAttraction, Haizhu Square]
  • A. Haizhu Square chosen
    Haizhu Square is a prominent public square and commercial area in central Guangzhou, China, known as a major transportation and shopping hub along the Pearl River.
  • B. Panyu Square
    Panyu Square is a major transportation and commercial hub in Guangzhou’s Panyu District, serving as a key southern gateway to the city.
  • C. Pazhou Complex
    Pazhou Complex is a major modern convention and exhibition center in Guangzhou, China, best known as the primary venue for the China Import and Export Fair (Canton Fair).
  • D. Xinghai Square
    Xinghai Square is a vast seaside city square in Dalian, China, known as one of the largest urban squares in the world and a major cultural and tourist attraction.
  • E. Xintiandi
    Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2d6628819084ac4734650fe912 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065cd42f481909ad3c68372041b1a completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:21 p.m.