Triple
T8133012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Chantilly |
E189898
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Chantilly Park
Chantilly Park is the expansive historic landscape and formal gardens surrounding the Château de Chantilly in northern France.
|
E714037
|
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: Chantilly Park | Statement: [Château de Chantilly, hasPart, Chantilly Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chantilly Park Context triple: [Château de Chantilly, hasPart, Chantilly Park]
-
A.
Champagne Park
Champagne Park is a public recreational green space located in Allen Park, Michigan.
-
B.
Steeplechase Park
Steeplechase Park was a historic Coney Island amusement park in Brooklyn, New York, famed for its innovative rides and role in the early development of American amusement culture.
-
C.
Chelsea Park
Chelsea Park is a public neighborhood park located in the city of Burien, Washington.
-
D.
Waverly Park
Waverly Park is a local public park in the town of Garrett Park, Maryland, offering green space and recreational amenities for residents and visitors.
-
E.
Ringer Park
Ringer Park is a public neighborhood park in the Allston area of Boston, known for its green space, recreational facilities, and community use.
- 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: Chantilly Park Triple: [Château de Chantilly, hasPart, Chantilly Park]
Generated description
Chantilly Park is the expansive historic landscape and formal gardens surrounding the Château de Chantilly in northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chantilly Park Target entity description: Chantilly Park is the expansive historic landscape and formal gardens surrounding the Château de Chantilly in northern France.
-
A.
Champagne Park
Champagne Park is a public recreational green space located in Allen Park, Michigan.
-
B.
Steeplechase Park
Steeplechase Park was a historic Coney Island amusement park in Brooklyn, New York, famed for its innovative rides and role in the early development of American amusement culture.
-
C.
Chelsea Park
Chelsea Park is a public neighborhood park located in the city of Burien, Washington.
-
D.
Waverly Park
Waverly Park is a local public park in the town of Garrett Park, Maryland, offering green space and recreational amenities for residents and visitors.
-
E.
Ringer Park
Ringer Park is a public neighborhood park in the Allston area of Boston, known for its green space, recreational facilities, and community use.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43ba98c881909c4b4c9cd25ad063 |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9482113881909439c9e43fbc933f |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c180188190a2d541e8ea9a4c57 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc970698f88190a0869515904e50e3 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:35 p.m.