Triple
T6987412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Sound |
E161997
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Sydenham
Sydenham is the former name of the Canadian city now known as Owen Sound in Ontario.
|
E633446
|
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: Sydenham | Statement: [Owen Sound, originalName, Sydenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydenham Context triple: [Owen Sound, originalName, Sydenham]
-
A.
Sydenham
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
-
B.
Sydenham
Sydenham is a district in east Belfast, Northern Ireland, known for its residential areas and proximity to key transport links including George Best Belfast City Airport.
-
C.
Winster
Winster is a historic village in England’s Peak District, known for its traditional stone houses, former lead-mining heritage, and well-preserved conservation area.
-
D.
Corringham
Corringham is a small town and civil parish in the unitary authority of Thurrock in Essex, England, with historic roots and a largely residential character.
-
E.
Tavistock
Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
- 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: Sydenham Triple: [Owen Sound, originalName, Sydenham]
Generated description
Sydenham is the former name of the Canadian city now known as Owen Sound in Ontario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sydenham Target entity description: Sydenham is the former name of the Canadian city now known as Owen Sound in Ontario.
-
A.
Sydenham
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
-
B.
Sydenham
Sydenham is a district in east Belfast, Northern Ireland, known for its residential areas and proximity to key transport links including George Best Belfast City Airport.
-
C.
Winster
Winster is a historic village in England’s Peak District, known for its traditional stone houses, former lead-mining heritage, and well-preserved conservation area.
-
D.
Corringham
Corringham is a small town and civil parish in the unitary authority of Thurrock in Essex, England, with historic roots and a largely residential character.
-
E.
Tavistock
Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db95c6148190bdb5f355ac04db3f |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761cfda14819088e11889f0151a37 |
completed | March 28, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69c7630440508190a66f218fd912d732 |
completed | March 28, 2026, 5:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7639747b88190b3429817d53c5703 |
completed | March 28, 2026, 5:13 a.m. |
Created at: March 27, 2026, 2:32 p.m.