Triple
T16713367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heslington |
E406161
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object |
Badger Hill
Badger Hill is a residential area near Heslington in York, England, known largely for its student housing and proximity to the University of York.
|
E1233259
|
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: Badger Hill | Statement: [Heslington, nearbyArea, Badger Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badger Hill Context triple: [Heslington, nearbyArea, Badger Hill]
-
A.
Bardon Hill
Bardon Hill is a prominent hill in Leicestershire, England, known for its panoramic views and its role in local quarrying and telecommunications.
-
B.
Badgers Mount
Badgers Mount is a small residential village in the Sevenoaks District of Kent, England, situated on the edge of Greater London.
-
C.
Pigeon Hill
Pigeon Hill is a historic Civil War battlefield site in Georgia, known for its role in the 1864 Battle of Kennesaw Mountain.
-
D.
Whitehawk Hill
Whitehawk Hill is a prominent elevated area in Brighton, England, known for its open downland, views over the city and coast, and recreational and historical significance.
-
E.
Brown Hill
Brown Hill is a small community located within the town of East Gwillimbury in Ontario, Canada.
- 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: Badger Hill Triple: [Heslington, nearbyArea, Badger Hill]
Generated description
Badger Hill is a residential area near Heslington in York, England, known largely for its student housing and proximity to the University of York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Badger Hill Target entity description: Badger Hill is a residential area near Heslington in York, England, known largely for its student housing and proximity to the University of York.
-
A.
Bardon Hill
Bardon Hill is a prominent hill in Leicestershire, England, known for its panoramic views and its role in local quarrying and telecommunications.
-
B.
Badgers Mount
Badgers Mount is a small residential village in the Sevenoaks District of Kent, England, situated on the edge of Greater London.
-
C.
Pigeon Hill
Pigeon Hill is a historic Civil War battlefield site in Georgia, known for its role in the 1864 Battle of Kennesaw Mountain.
-
D.
Whitehawk Hill
Whitehawk Hill is a prominent elevated area in Brighton, England, known for its open downland, views over the city and coast, and recreational and historical significance.
-
E.
Brown Hill
Brown Hill is a small community located within the town of East Gwillimbury in Ontario, Canada.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38653cdd48190863e1cc989e21f39 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaef72fc8190975edfe5076ed9db |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00acaf3b8c8190820e0abbdd5f8811 |
completed | May 10, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ad4bb7a08190ba93bb05435e66b1 |
completed | May 10, 2026, 4:07 p.m. |
Created at: April 10, 2026, 5:20 a.m.