Triple
T1203064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Sussex |
E25825
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object | Rye |
E80886
|
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: Rye | Statement: [East Sussex, hasHistoricTown, Rye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rye Context triple: [East Sussex, hasHistoricTown, Rye]
-
A.
Rye
chosen
Rye is a historic coastal town in East Sussex, England, known for its well-preserved medieval architecture and former importance as a member of the Cinque Ports confederation.
-
B.
Rye, New York
Rye, New York is a small, affluent coastal city in the New York City metropolitan area known for its historic landmarks and waterfront parks along Long Island Sound.
-
C.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbda0b081909c0147121a945e27 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac831703bc8190839deb02075cb8fd |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:46 p.m.