Triple
T10399576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oise |
E245108
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Noyon |
E210279
|
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: Noyon | Statement: [Oise, containsCity, Noyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noyon Context triple: [Oise, containsCity, 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.
Tsalxhaan
Tsalxhaan is the Tlingit name for Mount Fairweather, a prominent glaciated peak in the Fairweather Range of the Saint Elias Mountains on the Alaska–British Columbia border.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d2e8488190b2bb8f8509903804 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e84f7a08190b83ecfec72efb7a7 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:07 p.m.