Triple
T7705366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourne |
E174598
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Bourne Wood
Bourne Wood is a scenic woodland area near Farnham in Surrey, England, known for its open heathland, forest landscapes, and frequent use as a filming location for major movies and television productions.
|
E683065
|
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: Bourne Wood | Statement: [Bourne, hasPark, Bourne Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bourne Wood Context triple: [Bourne, hasPark, Bourne Wood]
-
A.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
B.
Woodhatch
Woodhatch is a residential area in the town of Reigate in Surrey, England.
-
C.
Burnt Pine
Burnt Pine is the main commercial and population center of Norfolk Island, serving as its largest town and hub for services and tourism.
-
D.
Buckman
Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
-
E.
The Wood
"The Wood" is a 1999 coming-of-age comedy-drama film that follows three lifelong friends in Inglewood, California, as they reminisce about their youth on the day of one friend's wedding.
- 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: Bourne Wood Triple: [Bourne, hasPark, Bourne Wood]
Generated description
Bourne Wood is a scenic woodland area near Farnham in Surrey, England, known for its open heathland, forest landscapes, and frequent use as a filming location for major movies and television productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bourne Wood Target entity description: Bourne Wood is a scenic woodland area near Farnham in Surrey, England, known for its open heathland, forest landscapes, and frequent use as a filming location for major movies and television productions.
-
A.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
B.
Woodhatch
Woodhatch is a residential area in the town of Reigate in Surrey, England.
-
C.
Burnt Pine
Burnt Pine is the main commercial and population center of Norfolk Island, serving as its largest town and hub for services and tourism.
-
D.
Buckman
Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
-
E.
The Wood
"The Wood" is a 1999 coming-of-age comedy-drama film that follows three lifelong friends in Inglewood, California, as they reminisce about their youth on the day of one friend's wedding.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7028f17f0819081686ac146750d3a |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acc088148190ba5ba07e4ad2284c |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8ae313d4c8190964be233c0651f3a |
completed | March 29, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aea55c0081909aa0f6c96c8d6a03 |
completed | March 29, 2026, 4:46 a.m. |
Created at: March 27, 2026, 4:03 p.m.