Triple
T10643550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Camac |
E250781
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Greenhills
Greenhills is a suburban area in Dublin, Ireland, known for its residential character and local amenities.
|
E877947
|
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: Greenhills | Statement: [River Camac, flowsThrough, Greenhills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenhills Context triple: [River Camac, flowsThrough, Greenhills]
-
A.
Hope Valley
Hope Valley is a scenic valley in England’s Peak District National Park, known for its picturesque villages, walking trails, and dramatic limestone and gritstone landscapes.
-
B.
Tulse Hill
Tulse Hill is a residential district in south London known for its diverse community, Victorian housing, and rail links into central London.
-
C.
Haddon Heights
Haddon Heights is a small suburban borough in southern New Jersey known for its historic homes, tree-lined streets, and close-knit community.
-
D.
Kingston Hill
Kingston Hill is a geographic elevation in Kingston, Rhode Island, known for overlooking the surrounding village and landscape.
-
E.
Haven Green
Haven Green is a well-known public green space and focal point near Ealing Broadway in the London Borough of Ealing.
- 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: Greenhills Triple: [River Camac, flowsThrough, Greenhills]
Generated description
Greenhills is a suburban area in Dublin, Ireland, known for its residential character and local amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greenhills Target entity description: Greenhills is a suburban area in Dublin, Ireland, known for its residential character and local amenities.
-
A.
Hope Valley
Hope Valley is a scenic valley in England’s Peak District National Park, known for its picturesque villages, walking trails, and dramatic limestone and gritstone landscapes.
-
B.
Tulse Hill
Tulse Hill is a residential district in south London known for its diverse community, Victorian housing, and rail links into central London.
-
C.
Haddon Heights
Haddon Heights is a small suburban borough in southern New Jersey known for its historic homes, tree-lined streets, and close-knit community.
-
D.
Kingston Hill
Kingston Hill is a geographic elevation in Kingston, Rhode Island, known for overlooking the surrounding village and landscape.
-
E.
Haven Green
Haven Green is a well-known public green space and focal point near Ealing Broadway in the London Borough of Ealing.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.