Triple
T1599064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorktown |
E34349
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | York, England |
E166944
|
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: York, England | Statement: [Yorktown, namedAfter, York, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: York, England Context triple: [Yorktown, namedAfter, York, England]
-
A.
York, England
chosen
York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
-
B.
London, England
London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
-
C.
Lexington, England
Lexington, England is a historic English locality whose name was later adopted by the American town of Lexington, Massachusetts.
-
D.
Kent, England
Kent, England is a historic county in southeastern England known for its coastal towns, rich agricultural land, and nickname "the Garden of England."
-
E.
Durham, England
Durham, England is a historic cathedral city in northeast England known for its Norman architecture, including Durham Cathedral and Castle, and as a prominent university center.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90948ddb08190a6fc0597198a7946 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0c3111081909bb8e503e77351cf |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:27 p.m.