Triple

T1943762
Position Surface form Disambiguated ID Type / Status
Subject Puxi E42014 entity
Predicate contains P35 FINISHED
Object French Concession area E36009 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: French Concession area | Statement: [Puxi, contains, French Concession area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Concession area
Context triple: [Puxi, contains, French Concession area]
  • A. Former French Concession chosen
    The Former French Concession is a historic central district of Shanghai known for its tree-lined streets, European-style architecture, and vibrant mix of cafes, boutiques, and nightlife.
  • B. The Bund
    The Bund is Shanghai’s historic waterfront promenade along the Huangpu River, famed for its colonial-era architecture and iconic skyline views.
  • C. Diamond District
    The Diamond District is a coastal residential neighborhood in Lynn, Massachusetts, known for its historic homes and proximity to Lynn and Nahant beaches.
  • D. Diamond District
    The Diamond District is Antwerp’s renowned commercial hub where a large share of the world’s diamonds are traded, cut, and polished.
  • E. Diamond District
    Diamond District is a famed New York City neighborhood known for its dense concentration of jewelry shops and diamond dealers.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb9b594819096747b580ec18fee completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.