Triple
T20095434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrow on the Hill |
E496386
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | HARROW |
—
|
NE NERFINISHED |
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: HARROW | Statement: [Harrow on the Hill, postTown, HARROW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HARROW Context triple: [Harrow on the Hill, postTown, HARROW]
-
A.
Harrow
chosen
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
B.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
C.
North Harrow
North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
-
D.
Harrow on the Hill
Harrow on the Hill is a historic village and suburban area in northwest London, known for its elevated position, picturesque streets, and the prestigious Harrow School.
-
E.
Harrow East
Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666b891c8190b4e4a60b73728771 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:24 p.m.