Triple
T21368905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E40 motorway |
E526996
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Ridder |
—
|
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: Ridder | Statement: [E40 motorway, passesThroughCity, Ridder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ridder Context triple: [E40 motorway, passesThroughCity, Ridder]
-
A.
Ridder
chosen
Ridder is a city in northeastern Kazakhstan, known as a mining and industrial center in the Altai Mountains near the border with Russia.
-
B.
Ritter
Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
-
C.
Ritter
Ritter is a small lunar impact crater located on the western edge of Mare Tranquillitatis on the Moon.
-
D.
Ritter
Ritter is a historical German noble title roughly equivalent to a knight, traditionally ranking below a baron in the aristocratic hierarchy.
-
E.
Rothaniel
Rothaniel is Jerrod Carmichael’s critically acclaimed HBO stand-up special noted for its intimate, confessional style and exploration of identity and sexuality.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.