Triple
T276313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai |
E5256
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Xintiandi
Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
|
E37624
|
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: Xintiandi | Statement: [Shanghai, hasPart, Xintiandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xintiandi Context triple: [Shanghai, hasPart, Xintiandi]
-
A.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
B.
Forbidden City
The Forbidden City is a vast imperial palace complex in central Beijing that served as the political and ceremonial heart of Chinese dynasties for nearly 500 years and is now a major cultural and historical museum.
-
C.
X’ian, China
Xi’an is a major historic city in central China, best known as the ancient capital of several dynasties and home to the famed Terracotta Army.
-
D.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
E.
Nankinmachi Chinatown
Nankinmachi Chinatown is Kobe’s vibrant Chinese quarter, known for its bustling streets, food stalls, and cultural festivals.
- 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: Xintiandi Triple: [Shanghai, hasPart, Xintiandi]
Generated description
Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xintiandi Target entity description: Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
-
A.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
B.
Forbidden City
The Forbidden City is a vast imperial palace complex in central Beijing that served as the political and ceremonial heart of Chinese dynasties for nearly 500 years and is now a major cultural and historical museum.
-
C.
X’ian, China
Xi’an is a major historic city in central China, best known as the ancient capital of several dynasties and home to the famed Terracotta Army.
-
D.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
E.
Nankinmachi Chinatown
Nankinmachi Chinatown is Kobe’s vibrant Chinese quarter, known for its bustling streets, food stalls, and cultural festivals.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a336d8b08190988eaf39f950f8cd |
completed | March 1, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69a3a3d1b16c8190af40cad78f3cd935 |
completed | March 1, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a437525c8190b850a8fa841a3af8 |
completed | March 1, 2026, 2:28 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.