Triple
T4999668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonna |
E112336
|
entity |
| Predicate | hasElectoralWard |
P962
|
FINISHED |
| Object |
Tonna ward
Tonna ward is an electoral division in Neath Port Talbot, Wales, responsible for electing local council representatives.
|
E484792
|
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: Tonna ward | Statement: [Tonna, hasElectoralWard, Tonna ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonna ward Context triple: [Tonna, hasElectoralWard, Tonna ward]
-
A.
Cumberland Ward
Cumberland Ward is a municipal electoral district in Ottawa, Ontario, representing the suburban and rural communities in the city's east end.
-
B.
Dunvant ward
Dunvant ward is an electoral division and suburban area within the City and County of Swansea in south Wales.
-
C.
Baguley ward
Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
-
D.
Cockett ward
Cockett ward is an electoral division and residential area within the city and county of Swansea in Wales.
-
E.
Taitō ward
Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
- 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: Tonna ward Triple: [Tonna, hasElectoralWard, Tonna ward]
Generated description
Tonna ward is an electoral division in Neath Port Talbot, Wales, responsible for electing local council representatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tonna ward Target entity description: Tonna ward is an electoral division in Neath Port Talbot, Wales, responsible for electing local council representatives.
-
A.
Cumberland Ward
Cumberland Ward is a municipal electoral district in Ottawa, Ontario, representing the suburban and rural communities in the city's east end.
-
B.
Dunvant ward
Dunvant ward is an electoral division and suburban area within the City and County of Swansea in south Wales.
-
C.
Baguley ward
Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
-
D.
Cockett ward
Cockett ward is an electoral division and residential area within the city and county of Swansea in Wales.
-
E.
Taitō ward
Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72bc100c81908c3e02726e1ef8f6 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a38484881909893e5450dc33265 |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8c40d7b0819099af4f350e3bd10b |
completed | March 21, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8c9eaf1c81908ef0a2d8fb7d48e7 |
completed | March 21, 2026, 12:18 p.m. |
Created at: March 20, 2026, 1:34 p.m.