Triple
T14951050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weimarer Land |
E372793
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Blankenhain
Blankenhain is a small town in the German state of Thuringia, known for its historic castle and scenic rural surroundings.
|
E1129101
|
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: Blankenhain | Statement: [Weimarer Land, containsTown, Blankenhain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blankenhain Context triple: [Weimarer Land, containsTown, Blankenhain]
-
A.
Wantagh
Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
-
B.
Remsen
Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
-
C.
Pine Plains
Pine Plains is a small rural town and community in northeastern Dutchess County, New York, known for its scenic landscapes and agricultural character.
-
D.
Lansingburgh
Lansingburgh is a historic residential neighborhood in the northern part of Troy, New York, known for its 19th-century architecture and village-like character along the Hudson River.
-
E.
Manorkill
Manorkill is a small stream in New York State that serves as one of the tributaries feeding into Schoharie Creek.
- 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: Blankenhain Triple: [Weimarer Land, containsTown, Blankenhain]
Generated description
Blankenhain is a small town in the German state of Thuringia, known for its historic castle and scenic rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blankenhain Target entity description: Blankenhain is a small town in the German state of Thuringia, known for its historic castle and scenic rural surroundings.
-
A.
Wantagh
Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
-
B.
Remsen
Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
-
C.
Pine Plains
Pine Plains is a small rural town and community in northeastern Dutchess County, New York, known for its scenic landscapes and agricultural character.
-
D.
Lansingburgh
Lansingburgh is a historic residential neighborhood in the northern part of Troy, New York, known for its 19th-century architecture and village-like character along the Hudson River.
-
E.
Manorkill
Manorkill is a small stream in New York State that serves as one of the tributaries feeding into Schoharie Creek.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83fdef58819098cda8cca0d810dd |
completed | May 9, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8518121c8190b6ffcc14ec5ac8ea |
completed | May 9, 2026, 12:51 a.m. |
Created at: April 10, 2026, 2:39 a.m.