Triple
T19550082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shotley Peninsula |
E489174
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Freston |
—
|
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: Freston | Statement: [Shotley Peninsula, containsSettlement, Freston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freston Context triple: [Shotley Peninsula, containsSettlement, Freston]
-
A.
Freston
chosen
Freston is a small village in the English county of Suffolk, known for its rural setting near the River Orwell and historic Freston Tower.
-
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.
Froxfield
Froxfield is a rural village and civil parish in the East Hampshire district of Hampshire, England.
-
D.
Cockfosters
Cockfosters is a suburban area in north London best known for its London Underground station that serves as the northern terminus of the Piccadilly line.
-
E.
Neasden
Neasden is a suburban area in northwest London, England, known for its residential character and proximity to major roads and rail links.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2f39188190976e8b6b111499a0 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.