Triple
T13110507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greiz |
E310957
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Greiz Park
Greiz Park is a historic landscaped public park in the town of Greiz, Germany, known for its scenic grounds and recreational green spaces.
|
E1079166
|
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: Greiz Park | Statement: [Greiz, hasPart, Greiz Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greiz Park Context triple: [Greiz, hasPart, Greiz Park]
-
A.
Juergens Park
Juergens Park is a public recreational park located in the city of Tomball, Texas.
-
B.
Hagemeister Park
Hagemeister Park was an early 20th-century athletic field in Green Bay, Wisconsin, best known as one of the original home grounds of the Green Bay Packers before they moved to City Stadium.
-
C.
Ferris Park
Ferris Park is a public recreational park located in the suburban city of Ballwin, Missouri.
-
D.
Bohrer Park
Bohrer Park is a public recreational park in Gaithersburg, Maryland, featuring amenities such as sports fields, walking paths, and family-friendly facilities.
-
E.
Sanders Park
Sanders Park is a public recreational park in Bromsgrove, Worcestershire, known for its open green spaces, sports facilities, and community events.
- 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: Greiz Park Triple: [Greiz, hasPart, Greiz Park]
Generated description
Greiz Park is a historic landscaped public park in the town of Greiz, Germany, known for its scenic grounds and recreational green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greiz Park Target entity description: Greiz Park is a historic landscaped public park in the town of Greiz, Germany, known for its scenic grounds and recreational green spaces.
-
A.
Juergens Park
Juergens Park is a public recreational park located in the city of Tomball, Texas.
-
B.
Hagemeister Park
Hagemeister Park was an early 20th-century athletic field in Green Bay, Wisconsin, best known as one of the original home grounds of the Green Bay Packers before they moved to City Stadium.
-
C.
Ferris Park
Ferris Park is a public recreational park located in the suburban city of Ballwin, Missouri.
-
D.
Bohrer Park
Bohrer Park is a public recreational park in Gaithersburg, Maryland, featuring amenities such as sports fields, walking paths, and family-friendly facilities.
-
E.
Sanders Park
Sanders Park is a public recreational park in Bromsgrove, Worcestershire, known for its open green spaces, sports facilities, and community events.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd084d94081909ae911fce5640aaf |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd21a2a408190ab335e99fcbbd9ae |
completed | May 7, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd2e1b2ec81909caab1bfc6394258 |
completed | May 7, 2026, 5:58 p.m. |
Created at: April 9, 2026, 9:05 p.m.