Triple
T10785210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavier College |
E254433
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Kew campus |
E157994
|
NE FINISHED |
How this triple was built (2 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: Kew campus | Statement: [Xavier College, hasCampus, Kew campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kew campus Context triple: [Xavier College, hasCampus, Kew campus]
-
A.
Kew Gardens
Kew Gardens is a residential neighborhood in central Queens, New York City, known for its tree-lined streets, prewar apartment buildings, and role as the borough’s civic center.
-
B.
Kew Palace
Kew Palace is a historic royal residence in Kew Gardens, London, best known as a retreat for King George III and his family.
-
C.
Kew
Kew is a small village on the island of North Caicos in the Turks and Caicos Islands, known for its quiet residential character and proximity to natural attractions.
-
D.
Kew
chosen
Kew is a leafy, affluent suburb of Melbourne, Australia, known for its historic homes, prestigious schools, and extensive parklands.
-
E.
Kew
Kew is a district in the London Borough of Richmond upon Thames, best known for housing the Royal Botanic Gardens and several major national institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d2e7cc8190a4cb9a4d7c76ab15 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5609bf9c81908f47591f74c04701 |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.