Triple
T3968790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City and County of Swansea |
E92278
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bonymaen
Bonymaen is a residential district and community in the east of Swansea, Wales.
|
E401995
|
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: Bonymaen | Statement: [City and County of Swansea, contains, Bonymaen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonymaen Context triple: [City and County of Swansea, contains, Bonymaen]
-
A.
Ruabon
Ruabon is a village and community in Wrexham County Borough, Wales, historically known for its coal mining and brickmaking industries and its location on key transport routes.
-
B.
Baldwyn
Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
-
C.
Talyllyn
Talyllyn is a historic narrow-gauge steam locomotive that operates on the Talyllyn Railway in Wales.
-
D.
Gwynplaine
Gwynplaine is the disfigured, perpetually grinning protagonist of Victor Hugo’s novel "The Man Who Laughs," whose tragic appearance inspired later characters like the Joker.
-
E.
Ciergnon
Ciergnon is a village in the Walloon region of Belgium known for its royal estate and the nearby Ciergnon Castle used by the Belgian royal family.
- 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: Bonymaen Triple: [City and County of Swansea, contains, Bonymaen]
Generated description
Bonymaen is a residential district and community in the east of Swansea, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonymaen Target entity description: Bonymaen is a residential district and community in the east of Swansea, Wales.
-
A.
Ruabon
Ruabon is a village and community in Wrexham County Borough, Wales, historically known for its coal mining and brickmaking industries and its location on key transport routes.
-
B.
Baldwyn
Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
-
C.
Talyllyn
Talyllyn is a historic narrow-gauge steam locomotive that operates on the Talyllyn Railway in Wales.
-
D.
Gwynplaine
Gwynplaine is the disfigured, perpetually grinning protagonist of Victor Hugo’s novel "The Man Who Laughs," whose tragic appearance inspired later characters like the Joker.
-
E.
Ciergnon
Ciergnon is a village in the Walloon region of Belgium known for its royal estate and the nearby Ciergnon Castle used by the Belgian royal family.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef992d6bc8190be1b244eb87f2964 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533c39de881908916baaf8d8c6cd6 |
completed | March 14, 2026, 10:09 a.m. |
| NEDg | Description generation | batch_69b5345c9f388190ae03a7baafd2b4a2 |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534f4ca808190a02806f3b06c5b70 |
completed | March 14, 2026, 10:14 a.m. |
Created at: March 9, 2026, 3:32 p.m.