Triple
T17992552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madona Municipality |
E430411
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ērgļi
Ērgļi is a small town in central Latvia known for its scenic hilly landscape and forests within the Vidzeme region.
|
E1300470
|
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: Ērgļi | Statement: [Madona Municipality, contains, Ērgļi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ērgļi Context triple: [Madona Municipality, contains, Ērgļi]
-
A.
Zemgale
Zemgale is a historical and cultural region in southern Latvia, known for its fertile plains and agricultural significance.
-
B.
Saldus
Saldus is a small town in western Latvia known for its regional cultural life and as a local economic and administrative center.
-
C.
Latgale
Latgale is a culturally distinct historical region in eastern Latvia, known for its lakes, rolling landscapes, and strong Latgalian linguistic and Catholic traditions.
-
D.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
E.
Balta
Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
- 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: Ērgļi Triple: [Madona Municipality, contains, Ērgļi]
Generated description
Ērgļi is a small town in central Latvia known for its scenic hilly landscape and forests within the Vidzeme region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ērgļi Target entity description: Ērgļi is a small town in central Latvia known for its scenic hilly landscape and forests within the Vidzeme region.
-
A.
Zemgale
Zemgale is a historical and cultural region in southern Latvia, known for its fertile plains and agricultural significance.
-
B.
Saldus
Saldus is a small town in western Latvia known for its regional cultural life and as a local economic and administrative center.
-
C.
Latgale
Latgale is a culturally distinct historical region in eastern Latvia, known for its lakes, rolling landscapes, and strong Latgalian linguistic and Catholic traditions.
-
D.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
E.
Balta
Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b2a0f8588190b6090c7cce60a35f |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337ae62588190b1a6464fb703cc8f |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca6a2608190a391694153070cc8 |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033d6bf3f48190ac141febc04608f6 |
completed | May 12, 2026, 2:47 p.m. |
Created at: April 10, 2026, 10:23 a.m.