Triple
T344244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Douglas |
E6903
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object |
Standish
Standish is a village in Lancashire, England, known for its historic parish church and traditional English character.
|
E43428
|
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: Standish | Statement: [River Douglas, flowsNear, Standish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Standish Context triple: [River Douglas, flowsNear, Standish]
-
A.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
B.
Groveland
Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
-
C.
Middleton
Middleton is a town in Greater Manchester, England, historically part of Lancashire and now a residential and industrial suburb of Manchester.
-
D.
Buxton
Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
-
E.
Fort Kent, Maine
Fort Kent, Maine is a small town in northern Aroostook County known for its location at the Canadian border and as a gateway to the North Maine Woods.
- 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: Standish Triple: [River Douglas, flowsNear, Standish]
Generated description
Standish is a village in Lancashire, England, known for its historic parish church and traditional English character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Standish Target entity description: Standish is a village in Lancashire, England, known for its historic parish church and traditional English character.
-
A.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
-
B.
Groveland
Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
-
C.
Middleton
Middleton is a town in Greater Manchester, England, historically part of Lancashire and now a residential and industrial suburb of Manchester.
-
D.
Buxton
Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
-
E.
Fort Kent, Maine
Fort Kent, Maine is a small town in northern Aroostook County known for its location at the Canadian border and as a gateway to the North Maine Woods.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb01261c81909280128b5ce75eff |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d4ea324c8190acd07727ca0ac193 |
completed | March 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69a3d593afbc8190b7148201f890ac77 |
completed | March 1, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d659a1308190bad45dc2af33b3f3 |
completed | March 1, 2026, 6:02 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.