Triple
T1993702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jing’an District |
E43309
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Reel Mall
Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
|
E222713
|
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: Reel Mall | Statement: [Jing’an District, hasLandmark, Reel Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reel Mall Context triple: [Jing’an District, hasLandmark, Reel Mall]
-
A.
Reel Cinemas
Reel Cinemas is a popular cinema chain in Dubai known for its modern multiplex theaters and premium movie-going experiences.
-
B.
Cinema de Lux
Cinema de Lux is a premium movie theater complex known for offering an upscale cinema experience with enhanced amenities and comfort.
-
C.
Ikspiari Cinema Complex
Ikspiari Cinema Complex is a multi-screen movie theater located within the Ikspiari shopping and entertainment district at Tokyo Disney Resort in Japan.
-
D.
Cinesphere
Cinesphere is a landmark domed cinema in Toronto, Canada, known as the world’s first permanent IMAX theatre and a key architectural feature of the Ontario Place complex.
-
E.
Hoyts
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
- 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: Reel Mall Triple: [Jing’an District, hasLandmark, Reel Mall]
Generated description
Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reel Mall Target entity description: Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
-
A.
Reel Cinemas
Reel Cinemas is a popular cinema chain in Dubai known for its modern multiplex theaters and premium movie-going experiences.
-
B.
Cinema de Lux
Cinema de Lux is a premium movie theater complex known for offering an upscale cinema experience with enhanced amenities and comfort.
-
C.
Ikspiari Cinema Complex
Ikspiari Cinema Complex is a multi-screen movie theater located within the Ikspiari shopping and entertainment district at Tokyo Disney Resort in Japan.
-
D.
Cinesphere
Cinesphere is a landmark domed cinema in Toronto, Canada, known as the world’s first permanent IMAX theatre and a key architectural feature of the Ontario Place complex.
-
E.
Hoyts
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033a39d48190b6389e22de0d4418 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae04128e048190a6a36e528586445a |
completed | March 8, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae049b7b1c81908bae4acd269ce36e |
completed | March 8, 2026, 11:22 p.m. |
Created at: March 4, 2026, 7:37 p.m.