Triple
T9184058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth’s School, Barnet |
E220408
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barnet |
E626105
|
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: Barnet | Statement: [Queen Elizabeth’s School, Barnet, locatedIn, Barnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnet Context triple: [Queen Elizabeth’s School, Barnet, locatedIn, Barnet]
-
A.
Barnet
chosen
Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
-
B.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
-
C.
Haringey
Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
-
D.
Hillingdon
Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
-
E.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99859b5cc81908475fde408802607 |
completed | April 11, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.