Triple

T10926572
Position Surface form Disambiguated ID Type / Status
Subject Fahua Pagoda E258083 entity
Predicate locatedNear P294 FINISHED
Object Jiading Old Town E258085 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: Jiading Old Town | Statement: [Fahua Pagoda, locatedNear, Jiading Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiading Old Town
Context triple: [Fahua Pagoda, locatedNear, Jiading Old Town]
  • A. Jiading Old Street chosen
    Jiading Old Street is a historic commercial street in Shanghai known for its traditional architecture, local snacks, and preserved cultural heritage.
  • B. Songjiang Old Town
    Songjiang Old Town is a historic district in Shanghai known for its ancient architecture, traditional waterways, and well-preserved cultural heritage.
  • C. Xujiahui
    Xujiahui is a major commercial and cultural district in Shanghai known for its shopping centers, historic Catholic sites, and transportation hub.
  • D. North Jiading
    North Jiading is a metro station in Shanghai’s Jiading District that serves as one of the outer suburban endpoints of the city’s rapid transit network.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709165188190aa30dd08deddade4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.