Triple
T13971645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ris-Orangis |
E336077
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Goch |
E668331
|
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: Goch | Statement: [Ris-Orangis, hasTwinTown, Goch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goch Context triple: [Ris-Orangis, hasTwinTown, Goch]
-
A.
Goch
chosen
Goch is a small historic town in western Germany’s Lower Rhine region, near the Dutch border.
-
B.
Goyang
Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
-
C.
Chinju
Chinju (often spelled Jinju) is a city in South Gyeongsang Province, South Korea, known for its historic fortress, Namgang Yudeung (Lantern) Festival, and rich cultural heritage.
-
D.
Gaomi
Gaomi is a county-level city in eastern China's Shandong province, known as the hometown of Nobel Prize–winning author Mo Yan and for its agricultural and light industrial economy.
-
E.
Gaon
A Gaon is a leading rabbinic authority and eminent Talmudic scholar recognized for exceptional halachic expertise and spiritual leadership.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.