Triple
T7174624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Karelia |
E167287
|
entity |
| Predicate | hasBorderCrossing |
P4105
|
FINISHED |
| Object |
Nuijamaa
Nuijamaa is a village and border crossing point in southeastern Finland, located near the Russian border in the region of South Karelia.
|
E646796
|
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: Nuijamaa | Statement: [South Karelia, hasBorderCrossing, Nuijamaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuijamaa Context triple: [South Karelia, hasBorderCrossing, Nuijamaa]
-
A.
Kivimäe
Kivimäe is a residential subdistrict within the Nõmme district of Tallinn, Estonia, known for its green, suburban character.
-
B.
Rahumäe
Rahumäe is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its green areas and cemeteries.
-
C.
Vana-Mustamäe
Vana-Mustamäe is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its green areas and quiet, suburban character.
-
D.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
E.
Jõgõperä
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
- 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: Nuijamaa Triple: [South Karelia, hasBorderCrossing, Nuijamaa]
Generated description
Nuijamaa is a village and border crossing point in southeastern Finland, located near the Russian border in the region of South Karelia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nuijamaa Target entity description: Nuijamaa is a village and border crossing point in southeastern Finland, located near the Russian border in the region of South Karelia.
-
A.
Kivimäe
Kivimäe is a residential subdistrict within the Nõmme district of Tallinn, Estonia, known for its green, suburban character.
-
B.
Rahumäe
Rahumäe is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its green areas and cemeteries.
-
C.
Vana-Mustamäe
Vana-Mustamäe is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its green areas and quiet, suburban character.
-
D.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
E.
Jõgõperä
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88d770c8190b8d06dcd08447c08 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b921b1e48190b25c1337f6187174 |
completed | March 28, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69c7b9b0867081909be41ffb8b088e16 |
completed | March 28, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba1a770c819085a25eb796312822 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:48 p.m.