Triple
T12781262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John’s Wood |
E305510
|
entity |
| Predicate | historicalCounty |
P1069
|
FINISHED |
| Object | Middlesex |
E14852
|
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: Middlesex | Statement: [St John’s Wood, historicalCounty, Middlesex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middlesex Context triple: [St John’s Wood, historicalCounty, Middlesex]
-
A.
Middlesex
Middlesex is a small village located in the Stann Creek District of Belize.
-
B.
Middlesex
Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
-
C.
Middlesex
Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
-
D.
County of Middlesex
The County of Middlesex is a historic county in southeast England that once encompassed much of what is now Greater London and surrounding areas.
-
E.
Middlesex, England
chosen
Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e7dec08190b522a8f3bfde6fe2 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:29 p.m.