Triple
T12023130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramsgate |
E286204
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Royal Harbour |
E226270
|
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: Royal Harbour | Statement: [Ramsgate, hasFeature, Royal Harbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Harbour Context triple: [Ramsgate, hasFeature, Royal Harbour]
-
A.
Royal Harbour
chosen
Royal Harbour is the distinguished title granted to the historic Port of Ramsgate in Kent, England, recognizing its special status and heritage.
-
B.
Princess Royal Harbour
Princess Royal Harbour is a natural deep-water port and sheltered bay forming part of the coastline at Albany in southern Western Australia.
-
C.
Old Harbour
Old Harbour is a coastal town and commercial hub in southern Jamaica known for its fishing industry and proximity to major transport routes.
-
D.
Old Harbour
Old Harbour is a historic fishing harbor and popular seaside landmark in Hermanus, South Africa, known for its scenic views and whale-watching opportunities.
-
E.
Chelsea Harbour
Chelsea Harbour is a luxury riverside development in West London featuring a marina, upscale apartments, and a hotel complex.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ee4f9081909e5a58ecbd830b14 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b71e5c48190a58ace8ef7c8928d |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:47 p.m.