Triple
T14304384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ylivieska |
E354653
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Alavieska
Alavieska is a small rural municipality in Northern Ostrobothnia, Finland, known for its agricultural landscape and close-knit community.
|
E1091679
|
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: Alavieska | Statement: [Ylivieska, neighboringMunicipality, Alavieska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alavieska Context triple: [Ylivieska, neighboringMunicipality, Alavieska]
-
A.
Svaliava
Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
-
B.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
C.
Altaelva
Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
-
D.
Domaso
Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
-
E.
Fiastra
Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
- 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: Alavieska Triple: [Ylivieska, neighboringMunicipality, Alavieska]
Generated description
Alavieska is a small rural municipality in Northern Ostrobothnia, Finland, known for its agricultural landscape and close-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alavieska Target entity description: Alavieska is a small rural municipality in Northern Ostrobothnia, Finland, known for its agricultural landscape and close-knit community.
-
A.
Svaliava
Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
-
B.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
C.
Altaelva
Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
-
D.
Domaso
Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
-
E.
Fiastra
Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2a56a4819095b5c2164b1ad9fb |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3edf42788190b50b1144a7de41df |
completed | May 8, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3fbd931081908ba0b1838d9be49c |
completed | May 8, 2026, 1:43 a.m. |
Created at: April 10, 2026, 1:12 a.m.