Triple
T2246522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathy Burke |
E49516
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Islington |
E112835
|
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: Islington | Statement: [Kathy Burke, placeOfBirth, Islington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Islington Context triple: [Kathy Burke, placeOfBirth, Islington]
-
A.
Stoke Newington
Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
-
B.
Shoreditch
Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
-
C.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
D.
London Borough of Islington
chosen
The London Borough of Islington is an inner London borough in north London known for its dense urban character, vibrant cultural scene, and mix of historic and modern architecture.
-
E.
Gospel Oak
Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ec46b08190ae12de8b255eb71d |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d0915148190b77b8a30fa3f796d |
completed | March 10, 2026, 1:30 p.m. |
Created at: March 4, 2026, 7:47 p.m.