Triple
T20239806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitstable |
E498251
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Seasalter |
—
|
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: Seasalter | Statement: [Whitstable, hasSuburb, Seasalter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seasalter Context triple: [Whitstable, hasSuburb, Seasalter]
-
A.
Seasalter
chosen
Seasalter is a small coastal village in southeast England known for its salt marshes, seafood, and views across the Thames Estuary.
-
B.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
-
C.
Seven Seas
Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
-
D.
Seven Seas
Seven Seas is the popular nickname for the Douglas DC-7C, a long-range variant of the DC-7 airliner designed for intercontinental flights.
-
E.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716dd0b081909d4063150cdc0c02 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.