Triple
T1504416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University College London |
E33866
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object |
Whittington
Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
|
E190204
|
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: Whittington | Statement: [University College London, hasCampus, Whittington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whittington Context triple: [University College London, hasCampus, Whittington]
-
A.
Beeston
Beeston is a suburban town just southwest of Nottingham in England, known for its residential character, local amenities, and proximity to the University of Nottingham.
-
B.
Polbeth
Polbeth is a small village in West Lothian, Scotland, historically associated with shale oil mining and situated near the town of West Calder.
-
C.
Camberwell
Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
-
D.
Battersea
Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
-
E.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
- 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: Whittington Triple: [University College London, hasCampus, Whittington]
Generated description
Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whittington Target entity description: Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
-
A.
Beeston
Beeston is a suburban town just southwest of Nottingham in England, known for its residential character, local amenities, and proximity to the University of Nottingham.
-
B.
Polbeth
Polbeth is a small village in West Lothian, Scotland, historically associated with shale oil mining and situated near the town of West Calder.
-
C.
Camberwell
Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
-
D.
Battersea
Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
-
E.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a88731a8f081908b8facef7b602c02 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7195dd10819096de0cde5fad5912 |
completed | March 8, 2026, 12:54 p.m. |
| NEDg | Description generation | batch_69ad73c1e01c8190998be403901a1b69 |
completed | March 8, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad742a52cc8190b836335f05ccb334 |
completed | March 8, 2026, 1:05 p.m. |
Created at: March 4, 2026, 7:24 p.m.