Triple

T9153433
Position Surface form Disambiguated ID Type / Status
Subject Luwan District E219645 entity
Predicate notableArea P2462 FINISHED
Object Xintiandi E37624 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: Xintiandi | Statement: [Luwan District, notableArea, Xintiandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xintiandi
Context triple: [Luwan District, notableArea, Xintiandi]
  • A. Xintiandi chosen
    Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • B. Tianzifang
    Tianzifang is a popular arts and crafts enclave in Shanghai known for its narrow alleyways, renovated traditional shikumen buildings, and vibrant mix of boutiques, galleries, cafés, and bars.
  • C. Xintiandi area
    The Xintiandi area is a fashionable, pedestrian-friendly district in Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • D. Sanxiantai
    Sanxiantai is a scenic coastal area and small offshore island in eastern Taiwan, famous for its arched footbridge, unique rock formations, and rich marine ecology.
  • E. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96e323881909cbf4d6708f24f79 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545c5bb48190b889e6e9ef0448a5 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:20 p.m.