Triple

T9022100
Position Surface form Disambiguated ID Type / Status
Subject Wàitān E215751 entity
Predicate facesArea P85753 FINISHED
Object Lujiazui E189182 NE FINISHED

How this triple was built (3 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: Lujiazui | Statement: [Wàitān, facesArea, Lujiazui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lujiazui
Context triple: [Wàitān, facesArea, Lujiazui]
  • A. Lujiazui chosen
    Lujiazui is Shanghai’s major financial district and futuristic skyline area on the east bank of the Huangpu River, known for its cluster of iconic skyscrapers.
  • B. Wudaokou
    Wudaokou is a bustling neighborhood in Beijing known for its universities, tech companies, and vibrant student nightlife.
  • C. Yizhuang
    Yizhuang is a rapidly developing suburban area in southeastern Beijing known for its economic and technological development zone and growing residential communities.
  • D. Gubeikou
    Gubeikou is a historically significant mountain pass and Great Wall fortification in northern China that has long served as a strategic gateway between the North China Plain and the Mongolian plateau.
  • E. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facesArea
Context triple: [Wàitān, facesArea, Lujiazui]
  • A. area
    Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
  • B. fareArea
    Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
  • C. surfaceAreaRelative
    Indicates the ratio or comparative measure of one entity’s surface area relative to another reference surface area.
  • D. facesBuilding
    Indicates that one building is oriented toward and directly faces another building.
  • E. coreAreaOf
    Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
  • F. None of above. chosen

Provenance (5 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a454b808190af6bb48f7a4da917 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69cc5edf84408190aa5f57cb8bfd00e1 completed March 31, 2026, 11:55 p.m.
PDg Predicate description generation batch_69cc5f6dec4081909379bd57c02a5710 completed March 31, 2026, 11:57 p.m.
Created at: March 30, 2026, 7:07 p.m.