Triple
T21976972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marken lighthouse |
E542729
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Amsterdam |
—
|
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: Amsterdam | Statement: [Marken lighthouse, near, Amsterdam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amsterdam Context triple: [Marken lighthouse, near, Amsterdam]
-
A.
Amsterdam
chosen
Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
-
B.
Amsterdam
Amsterdam is a Booker Prize–winning novel by British author Ian McEwan that explores moral compromise and revenge through the intertwined lives of two old friends.
-
C.
Amsterdam
Amsterdam is a historic city in upstate New York located along the Mohawk River, known for its former textile industry and canal-era heritage.
-
D.
Rotterdam
Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
-
E.
Haarlem
Haarlem is a historic Dutch city in the province of North Holland, known for its medieval architecture, cultural heritage, and role as a regional center near Amsterdam.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12489889c81909c847cf2f6808d85 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.