Triple
T12573794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Middlesex |
E258941
|
entity |
| Predicate | containedSettlement |
P16159
|
FINISHED |
| Object | Hornsey |
E276174
|
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: Hornsey | Statement: [County of Middlesex, containedSettlement, Hornsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hornsey Context triple: [County of Middlesex, containedSettlement, Hornsey]
-
A.
Hornsey
chosen
Hornsey is a district in the London Borough of Haringey, England, known historically as a suburban area that developed rapidly in the 19th and 20th centuries.
-
B.
Gants Hill
Gants Hill is a suburban district in northeast London known for its busy road junction, Underground station on the Central line, and mix of residential and commercial areas.
-
C.
Edgware
Edgware is a suburban district in north London known for its residential character, shopping facilities, and role as a transport hub on the London Underground.
-
D.
Shepherd’s Bush
Shepherd’s Bush is a vibrant district in West London known for its major shopping center Westfield London, diverse community, and busy transport hub around Shepherd’s Bush Green.
-
E.
Hendon
Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a52c788190beac128a97e34dc1 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f264d48190be636796d694ceb1 |
completed | May 8, 2026, 3:13 a.m. |
Created at: April 9, 2026, 4:42 p.m.