Triple
T22095385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Compiègne |
E546013
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Noyon |
—
|
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: Noyon | Statement: [arrondissement of Compiègne, contains, Noyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noyon Context triple: [arrondissement of Compiègne, contains, Noyon]
-
A.
Noyon
chosen
Noyon is a historic town in northern France known for its Gothic cathedral and as the birthplace of Protestant reformer John Calvin.
-
B.
Selenge
Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
-
C.
Khorol
Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
-
D.
Bayan-Ölgii
Bayan-Ölgii is a western Mongolian province known for its predominantly Kazakh population, rich nomadic culture, and dramatic Altai Mountain landscapes.
-
E.
Toghrïl
Toghrïl was a prominent 11th-century Seljuk leader and sultan who played a key role in establishing Seljuk dominance in the Islamic world.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.