Triple
T10003049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haikou |
E197372
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object |
Evergreen Park
Evergreen Park is a large, scenic urban green space in Haikou, China, known for its waterfront views, walking paths, and recreational areas.
|
E964796
|
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: Evergreen Park | Statement: [Haikou, touristAttraction, Evergreen Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evergreen Park Context triple: [Haikou, touristAttraction, Evergreen Park]
-
A.
Greenfield Park
Greenfield Park is a residential borough on the South Shore of Montreal in Quebec, Canada, known for its suburban character and bilingual community.
-
B.
Farnsworth Park
Farnsworth Park is a historic public park and community gathering space in Altadena, California, known for its scenic grounds and stone amphitheater.
-
C.
Fairview Park
Fairview Park is a public recreational park located in Decatur, Illinois, offering green space and outdoor amenities for community use.
-
D.
Fairview Park
Fairview Park is a public recreational park located in the suburb of Hawthorn.
-
E.
Fairview Park
Fairview Park is a suburban city located on the western side of the Cleveland metropolitan area in northeastern Ohio.
- 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: Evergreen Park Triple: [Haikou, touristAttraction, Evergreen Park]
Generated description
Evergreen Park is a large, scenic urban green space in Haikou, China, known for its waterfront views, walking paths, and recreational areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evergreen Park Target entity description: Evergreen Park is a large, scenic urban green space in Haikou, China, known for its waterfront views, walking paths, and recreational areas.
-
A.
Greenfield Park
Greenfield Park is a residential borough on the South Shore of Montreal in Quebec, Canada, known for its suburban character and bilingual community.
-
B.
Farnsworth Park
Farnsworth Park is a historic public park and community gathering space in Altadena, California, known for its scenic grounds and stone amphitheater.
-
C.
Fairview Park
Fairview Park is a public recreational park located in Decatur, Illinois, offering green space and outdoor amenities for community use.
-
D.
Fairview Park
Fairview Park is a public recreational park located in the suburb of Hawthorn.
-
E.
Fairview Park
Fairview Park is a suburban city located on the western side of the Cleveland metropolitan area in northeastern Ohio.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcd12f6488190bd5257b5f65437cc |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: March 30, 2026, 8:51 p.m.