Triple
T17401782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finchley Road |
E423107
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Frognal |
—
|
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: Frognal | Statement: [Finchley Road, locatedIn, Frognal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frognal Context triple: [Finchley Road, locatedIn, Frognal]
-
A.
Frognal
chosen
Frognal is a residential area in the London Borough of Camden, known for its affluent streets and proximity to Hampstead.
-
B.
Greenford
Greenford is a suburban area in the London Borough of Ealing, known for its residential neighborhoods, parks, and transport links in West London.
-
C.
Galley Hill
Galley Hill is a coastal promontory and historic viewpoint in Bexhill-on-Sea, East Sussex, known for its sea views and local walking paths.
-
D.
Ranmore
Ranmore is a rural area in Surrey, England, known for its woodland landscapes within the Surrey Hills and its historic parish church of St Barnabas.
-
E.
Freston
Freston is a small village in the English county of Suffolk, known for its rural setting near the River Orwell and historic Freston Tower.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.