Triple
T17367820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowcaddens |
E422229
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object |
Woodlands
Woodlands is a residential and commercial district in Glasgow, Scotland, known for its traditional tenement housing and proximity to the city centre and university areas.
|
E1264045
|
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: Woodlands | Statement: [Cowcaddens, hasNearbyArea, Woodlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodlands Context triple: [Cowcaddens, hasNearbyArea, Woodlands]
-
A.
Woodlands
Woodlands is a natural, forested area within Belle Isle Park that offers visitors scenic trails and a tranquil escape into nature.
-
B.
Woodlands
Woodlands is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
-
C.
Woodlands
Woodlands is a settlement located within Saint George Parish on the Caribbean island nation of Antigua and Barbuda.
-
D.
Woodlands
Woodlands is a residential and commercial town in northern Singapore that serves as a key land border crossing point to Malaysia across the Straits of Johor.
-
E.
Woodlands
Woodlands is a residential neighborhood within the Mitchells Plain area of Cape Town, South Africa.
- 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: Woodlands Triple: [Cowcaddens, hasNearbyArea, Woodlands]
Generated description
Woodlands is a residential and commercial district in Glasgow, Scotland, known for its traditional tenement housing and proximity to the city centre and university areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woodlands Target entity description: Woodlands is a residential and commercial district in Glasgow, Scotland, known for its traditional tenement housing and proximity to the city centre and university areas.
-
A.
Woodlands
Woodlands is a natural, forested area within Belle Isle Park that offers visitors scenic trails and a tranquil escape into nature.
-
B.
Woodlands
Woodlands is a residential and commercial town in northern Singapore that serves as a key land border crossing point to Malaysia across the Straits of Johor.
-
C.
Woodlands
Woodlands is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
-
D.
Woodlands
Woodlands is a residential neighborhood within the Mitchells Plain area of Cape Town, South Africa.
-
E.
Woodlands
Woodlands is a settlement located within Saint George Parish on the Caribbean island nation of Antigua and Barbuda.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a661fc08190a4c386125bddb16b |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
completed | May 11, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019b88046081909ee72d0efca7725f |
completed | May 11, 2026, 9:04 a.m. |
Created at: April 10, 2026, 5:44 a.m.