Triple
T11776856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firle |
E280039
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lewes |
E155214
|
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: Lewes | Statement: [Firle, near, Lewes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewes Context triple: [Firle, near, Lewes]
-
A.
Lewes
Lewes is a historic coastal town in southern Delaware, recognized as one of the earliest European settlements in the state and a popular gateway to nearby Atlantic beaches.
-
B.
Lewes
chosen
Lewes is a historic market town in southeastern England known for its medieval architecture, castle, and famous Bonfire Night celebrations.
-
C.
Dover
Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
-
D.
Dover
Dover is a residential and educational neighborhood in western Singapore, known for its proximity to universities and polytechnics.
-
E.
Dover
Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a560bf548190afab3ad14f953a71 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166aed0908190b43e01b674382b1f |
completed | April 29, 2026, 2:02 a.m. |
Created at: April 8, 2026, 9:42 p.m.