Triple
T2346225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lea |
E45136
|
entity |
| Predicate | flowsThroughSettlement |
P9749
|
FINISHED |
| Object |
Bow
Bow is a district in East London, England, known for its historic industrial heritage and proximity to the River Lea and the Queen Elizabeth Olympic Park.
|
E259369
|
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: Bow | Statement: [River Lea, flowsThroughSettlement, Bow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bow Context triple: [River Lea, flowsThroughSettlement, Bow]
-
A.
Bou
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
-
B.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
C.
Bo
Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
-
D.
Bagshot
Bagshot is a village in the county of Surrey, England, known historically as a coaching stop and for its proximity to Bagshot Park, a royal residence.
-
E.
Bal
Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
- 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: Bow Triple: [River Lea, flowsThroughSettlement, Bow]
Generated description
Bow is a district in East London, England, known for its historic industrial heritage and proximity to the River Lea and the Queen Elizabeth Olympic Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bow Target entity description: Bow is a district in East London, England, known for its historic industrial heritage and proximity to the River Lea and the Queen Elizabeth Olympic Park.
-
A.
Bou
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
-
B.
Bo
Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
-
C.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
D.
Bagshot
Bagshot is a village in the county of Surrey, England, known historically as a coaching stop and for its proximity to Bagshot Park, a royal residence.
-
E.
Bal
Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c9396081908abb2b0a229bb046 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9629f4908190ba3c51b7d12be4e4 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae99f64ab48190b5760eb75276342c |
completed | March 9, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9ad9706081909593ca75126c43e8 |
completed | March 9, 2026, 10:03 a.m. |
Created at: March 4, 2026, 7:52 p.m.