Triple
T21517380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Peninsula Paris |
E530879
|
entity |
| Predicate | hasRestaurant |
P4442
|
FINISHED |
| Object |
LiLi
LiLi is an upscale Cantonese restaurant in Paris known for its refined dim sum and elegant, theater-inspired setting within The Peninsula Paris hotel.
|
E1488948
|
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: LiLi | Statement: [The Peninsula Paris, hasRestaurant, LiLi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LiLi Context triple: [The Peninsula Paris, hasRestaurant, LiLi]
-
A.
Li
Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
-
B.
Li
Li is a central Confucian concept referring to the proper rites, rituals, and norms of conduct that cultivate moral order and social harmony.
-
C.
LI
LI is the Roman numeral representing the number 51.
-
D.
LI
LI is the stock ticker symbol for Li Auto Inc., a Chinese electric vehicle manufacturer listed on the Nasdaq and Hong Kong stock exchanges.
-
E.
LI
LI is the vehicle registration and administrative code for the Italian province of Livorno in Tuscany.
- 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: LiLi Triple: [The Peninsula Paris, hasRestaurant, LiLi]
Generated description
LiLi is an upscale Cantonese restaurant in Paris known for its refined dim sum and elegant, theater-inspired setting within The Peninsula Paris hotel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LiLi Target entity description: LiLi is an upscale Cantonese restaurant in Paris known for its refined dim sum and elegant, theater-inspired setting within The Peninsula Paris hotel.
-
A.
Li
Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
-
B.
Li
Li is a central Confucian concept referring to the proper rites, rituals, and norms of conduct that cultivate moral order and social harmony.
-
C.
LI
LI is the Roman numeral representing the number 51.
-
D.
LI
LI is the stock ticker symbol for Li Auto Inc., a Chinese electric vehicle manufacturer listed on the Nasdaq and Hong Kong stock exchanges.
-
E.
LI
LI is the vehicle registration and administrative code for the Italian province of Livorno in Tuscany.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee814278e08190a66d516bed0726b5 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e822da6081909eced309887f72a7 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e8b42b3481908fd96c48eb42625f |
completed | May 17, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e92defe88190af0afcb3b97e95cf |
completed | May 17, 2026, 4:13 p.m. |
Created at: April 16, 2026, 6:25 p.m.