Triple
T14725824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanham |
E345936
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Hanham Mount
Hanham Mount is a historic hilltop site in Hanham, England, known as a notable local landmark and viewpoint.
|
E1115166
|
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: Hanham Mount | Statement: [Hanham, hasLandmark, Hanham Mount]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanham Mount Context triple: [Hanham, hasLandmark, Hanham Mount]
-
A.
Wolvercote
Wolvercote is a village and suburb on the northern edge of Oxford, England, known for its historic character and proximity to the River Thames and Port Meadow.
-
B.
Hughenden Park
Hughenden Park is a public green space and historic parkland surrounding Hughenden Manor near High Wycombe in Buckinghamshire, England.
-
C.
Markham Hall
Markham Hall is a primary academic and administrative building on the Rogers State University campus.
-
D.
Luton Hoo
Luton Hoo is a historic English country house and estate in Bedfordshire, renowned for its grand neoclassical architecture and landscaped grounds.
-
E.
Heytesbury Park
Heytesbury Park is a historic country estate and parkland in Wiltshire, England, known for its former manor house and landscaped grounds.
- 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: Hanham Mount Triple: [Hanham, hasLandmark, Hanham Mount]
Generated description
Hanham Mount is a historic hilltop site in Hanham, England, known as a notable local landmark and viewpoint.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanham Mount Target entity description: Hanham Mount is a historic hilltop site in Hanham, England, known as a notable local landmark and viewpoint.
-
A.
Wolvercote
Wolvercote is a village and suburb on the northern edge of Oxford, England, known for its historic character and proximity to the River Thames and Port Meadow.
-
B.
Hughenden Park
Hughenden Park is a public green space and historic parkland surrounding Hughenden Manor near High Wycombe in Buckinghamshire, England.
-
C.
Markham Hall
Markham Hall is a primary academic and administrative building on the Rogers State University campus.
-
D.
Luton Hoo
Luton Hoo is a historic English country house and estate in Bedfordshire, renowned for its grand neoclassical architecture and landscaped grounds.
-
E.
Heytesbury Park
Heytesbury Park is a historic country estate and parkland in Wiltshire, England, known for its former manor house and landscaped grounds.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26013c8819090512f8b4df9cc87 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf099eaf48190b89032b6ac769e67 |
completed | May 8, 2026, 2:18 p.m. |
| NEDg | Description generation | batch_69fdf20f3f0c81909052226a1fb8f165 |
completed | May 8, 2026, 2:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf30dab20819085589da4e869fb7e |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:29 a.m.