Triple
T11260143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor |
E266539
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
River Adda
River Adda is a small urban watercourse in Bangor, Gwynedd, Wales, that flows through the city before reaching the Menai Strait.
|
E919700
|
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: River Adda | Statement: [Bangor, hasRiver, River Adda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Adda Context triple: [Bangor, hasRiver, River Adda]
-
A.
Bani River
The Bani River is a significant West African waterway that joins the Niger River in Mali, contributing substantially to its flow and regional agriculture.
-
B.
River Annan
River Annan is a river in southwest Scotland that flows through Dumfriesshire before emptying into the Solway Firth.
-
C.
Addalam River
The Addalam River is a significant waterway in the Cagayan Valley region of the Philippines, contributing to local agriculture, ecosystems, and communities.
-
D.
Awali River
The Awali River is a significant watercourse in Lebanon that flows through the region of Sidon before emptying into the Mediterranean Sea.
-
E.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
- 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: River Adda Triple: [Bangor, hasRiver, River Adda]
Generated description
River Adda is a small urban watercourse in Bangor, Gwynedd, Wales, that flows through the city before reaching the Menai Strait.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: River Adda Target entity description: River Adda is a small urban watercourse in Bangor, Gwynedd, Wales, that flows through the city before reaching the Menai Strait.
-
A.
Bani River
The Bani River is a significant West African waterway that joins the Niger River in Mali, contributing substantially to its flow and regional agriculture.
-
B.
River Annan
River Annan is a river in southwest Scotland that flows through Dumfriesshire before emptying into the Solway Firth.
-
C.
Addalam River
The Addalam River is a significant waterway in the Cagayan Valley region of the Philippines, contributing to local agriculture, ecosystems, and communities.
-
D.
Awali River
The Awali River is a significant watercourse in Lebanon that flows through the region of Sidon before emptying into the Mediterranean Sea.
-
E.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e936cb048190b4d6fb2851ef8932 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542ab02708190b40a96edd56a6519 |
completed | April 19, 2026, 9:01 p.m. |
| NEDg | Description generation | batch_69e5474879088190990468d960b26739 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eccdd3881908536ee3f9f4ef516 |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:31 p.m.