Triple
T8557210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richterswil |
E202600
|
entity |
| Predicate | hasHeritageSite |
P923
|
FINISHED |
| Object |
country estate Boden
Country estate Boden is a historic manor property in Richterswil, Switzerland, recognized as a cultural heritage site of regional significance.
|
E743275
|
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: country estate Boden | Statement: [Richterswil, hasHeritageSite, country estate Boden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: country estate Boden Context triple: [Richterswil, hasHeritageSite, country estate Boden]
-
A.
Boden
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
-
B.
Hartekamp estate
Hartekamp estate is a historic Dutch country estate in Heemstede, best known as the place where botanist Carl Linnaeus worked on his influential botanical studies in the 18th century.
-
C.
Land
Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
-
D.
Land
"Land" is a poem by Seamus Heaney that reflects on the Irish landscape and rural life, blending physical detail with themes of history and identity.
-
E.
Land
Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
- 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: country estate Boden Triple: [Richterswil, hasHeritageSite, country estate Boden]
Generated description
Country estate Boden is a historic manor property in Richterswil, Switzerland, recognized as a cultural heritage site of regional significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: country estate Boden Target entity description: Country estate Boden is a historic manor property in Richterswil, Switzerland, recognized as a cultural heritage site of regional significance.
-
A.
Boden
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
-
B.
Hartekamp estate
Hartekamp estate is a historic Dutch country estate in Heemstede, best known as the place where botanist Carl Linnaeus worked on his influential botanical studies in the 18th century.
-
C.
Land
Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
-
D.
Land
"Land" is a poem by Seamus Heaney that reflects on the Irish landscape and rural life, blending physical detail with themes of history and identity.
-
E.
Land
Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe946d1408190adc7dfb7b2173f9d |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce893b24c0819094fead15749fe1ee |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.