Triple
T21284632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sint-Truiden |
E524620
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Gorodeya
Gorodeya is a small settlement in Belarus known for its local football club and industrial facilities, including a sugar refinery.
|
E1487142
|
NE FINISHED |
How this triple was built (4 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: Gorodeya | Statement: [Sint-Truiden, hasTwinTown, Gorodeya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorodeya Context triple: [Sint-Truiden, hasTwinTown, Gorodeya]
-
A.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
-
B.
Yukhnov
Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
E.
Yartsevo
Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gorodeya Triple: [Sint-Truiden, hasTwinTown, Gorodeya]
Generated description
Gorodeya is a small settlement in Belarus known for its local football club and industrial facilities, including a sugar refinery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gorodeya Target entity description: Gorodeya is a small settlement in Belarus known for its local football club and industrial facilities, including a sugar refinery.
-
A.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
-
B.
Yukhnov
Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
E.
Yartsevo
Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
- F. None of above. chosen
Provenance (5 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d4e7f881909c2cc7936a66b79d |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e121c4848190af32fcc58dac78c8 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1e8a698819093ed056a1a007aba |
completed | May 17, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e278b5488190a71119d3c62f64c0 |
completed | May 17, 2026, 3:44 p.m. |
Created at: April 16, 2026, 4:03 p.m.