Triple

T9153414
Position Surface form Disambiguated ID Type / Status
Subject Luwan District E219645 entity
Predicate pinyinName P9333 FINISHED
Object Lúwān Qū
Lúwān Qū is the Mandarin pinyin name for Luwan District, a former central district of Shanghai known for its historic architecture and cultural landmarks.
E779954 NE FINISHED

How this triple was built (4 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: Lúwān Qū | Statement: [Luwan District, pinyinName, Lúwān Qū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lúwān Qū
Context triple: [Luwan District, pinyinName, Lúwān Qū]
  • A. Awaran District
    Awaran District is a sparsely populated and underdeveloped administrative district in southwestern Balochistan, Pakistan, known for its rugged terrain and recurring seismic activity.
  • B. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • C. Laworo
    Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
  • D. Chota Province
    Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
  • E. O Mon District
    O Mon District is an urban district within Cần Thơ municipality in Vietnam’s Mekong Delta region, known for its canals, rice cultivation, and growing urban development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lúwān Qū
Triple: [Luwan District, pinyinName, Lúwān Qū]
Generated description
Lúwān Qū is the Mandarin pinyin name for Luwan District, a former central district of Shanghai known for its historic architecture and cultural landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lúwān Qū
Target entity description: Lúwān Qū is the Mandarin pinyin name for Luwan District, a former central district of Shanghai known for its historic architecture and cultural landmarks.
  • A. Awaran District
    Awaran District is a sparsely populated and underdeveloped administrative district in southwestern Balochistan, Pakistan, known for its rugged terrain and recurring seismic activity.
  • B. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • C. Laworo
    Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
  • D. Chota Province
    Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
  • E. O Mon District
    O Mon District is an urban district within Cần Thơ municipality in Vietnam’s Mekong Delta region, known for its canals, rice cultivation, and growing urban development.
  • 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_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_69d04846544481909012f5c7fbbf3b0a completed April 3, 2026, 11:07 p.m.
NEDg Description generation batch_69d048dcd7448190bee7509495e964eb completed April 3, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69d049b6a0188190b52f833795a8ad05 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:20 p.m.