Triple
T17345501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Devon |
E421675
|
entity |
| Predicate | hasRecreationArea |
P5383
|
FINISHED |
| Object | Glen Devon Woodlands |
—
|
NE ONDG |
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: Glen Devon Woodlands | Statement: [Glen Devon, hasRecreationArea, Glen Devon Woodlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen Devon Woodlands Context triple: [Glen Devon, hasRecreationArea, Glen Devon Woodlands]
-
A.
Willona Woods
Willona Woods is a witty, outspoken neighbor and close friend of the Evans family on the 1970s sitcom "Good Times," known for her humor and strong, independent personality.
-
B.
Talbot Woods
Talbot Woods is an affluent, leafy residential area known for its large detached homes and proximity to Bournemouth’s universities and green spaces.
-
C.
Southwood Woodland
Southwood Woodland is a public woodland area in Southwood, typically used for recreation, walking, and enjoying local nature and wildlife.
-
D.
Noanet Woodlands
Noanet Woodlands is a large conservation area in Dover, Massachusetts, known for its extensive hiking trails, ponds, and scenic views of the Boston skyline.
-
E.
Warburton Woods
Warburton Woods is a local nature site near Partington, England, known for its woodland habitat and informal recreational use by the surrounding community.
- 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: Glen Devon Woodlands Triple: [Glen Devon, hasRecreationArea, Glen Devon Woodlands]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glen Devon Woodlands Target entity description: Glen Devon Woodlands is a scenic natural area in Glen Devon known for its woodland walks, wildlife, and outdoor recreation opportunities.
-
A.
Willona Woods
Willona Woods is a witty, outspoken neighbor and close friend of the Evans family on the 1970s sitcom "Good Times," known for her humor and strong, independent personality.
-
B.
Talbot Woods
Talbot Woods is an affluent, leafy residential area known for its large detached homes and proximity to Bournemouth’s universities and green spaces.
-
C.
Southwood Woodland
chosen
Southwood Woodland is a public woodland area in Southwood, typically used for recreation, walking, and enjoying local nature and wildlife.
-
D.
Noanet Woodlands
Noanet Woodlands is a large conservation area in Dover, Massachusetts, known for its extensive hiking trails, ponds, and scenic views of the Boston skyline.
-
E.
Warburton Woods
Warburton Woods is a local nature site near Partington, England, known for its woodland habitat and informal recreational use by the surrounding community.
- F. None of above.
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a286d34819080c5148c220fd5a1 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195546198819085804ec0b5b18040 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01965807cc819088792a88b8a099d3 |
in_progress | May 11, 2026, 8:42 a.m. |
Created at: April 10, 2026, 5:44 a.m.