Triple
T3271354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Darwen |
E68654
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Cherry Tree
Cherry Tree is a suburban area of Blackburn in Lancashire, England, known for its residential character and proximity to the River Darwen.
|
E342638
|
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: Cherry Tree | Statement: [River Darwen, flowsThrough, Cherry Tree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherry Tree Context triple: [River Darwen, flowsThrough, Cherry Tree]
-
A.
Mulberry Bush
Mulberry Bush was a popular Birmingham city-centre pub that became infamous as one of the main targets of the 1974 Birmingham pub bombings.
-
B.
Plumeret
Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
-
C.
Rosa
Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
-
D.
Rosa
Rosa is the birth name of Linda Christian, a Mexican film actress known as the first "Bond girl" for her role in the 1954 television adaptation of Casino Royale.
-
E.
Lilacs
"Lilacs" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that reflects her characteristic focus on intimate emotional experiences and Creole life.
- 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: Cherry Tree Triple: [River Darwen, flowsThrough, Cherry Tree]
Generated description
Cherry Tree is a suburban area of Blackburn in Lancashire, England, known for its residential character and proximity to the River Darwen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherry Tree Target entity description: Cherry Tree is a suburban area of Blackburn in Lancashire, England, known for its residential character and proximity to the River Darwen.
-
A.
Mulberry Bush
Mulberry Bush was a popular Birmingham city-centre pub that became infamous as one of the main targets of the 1974 Birmingham pub bombings.
-
B.
Plumeret
Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
-
C.
Rosa
Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
-
D.
Rosa
Rosa is the birth name of Linda Christian, a Mexican film actress known as the first "Bond girl" for her role in the 1954 television adaptation of Casino Royale.
-
E.
Lilacs
"Lilacs" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that reflects her characteristic focus on intimate emotional experiences and Creole life.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff4b9dc8190b7e3da0bbffccf99 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f02a620819091356c965b2aceef |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b296709f84819094fe9db721a44f83 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c47e908190b5be5b33da358ade |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.