Triple
T5989346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saare County |
E133304
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Orissaare
Orissaare is a small town in western Estonia known for its coastal location on the island of Saaremaa.
|
E561677
|
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: Orissaare | Statement: [Saare County, hasSettlement, Orissaare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orissaare Context triple: [Saare County, hasSettlement, Orissaare]
-
A.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
B.
Schwedeninsel
Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
-
C.
Ilhéu de Ferro
Ilhéu de Ferro is a small uninhabited rocky islet off the coast of Porto Santo in the Madeira archipelago of Portugal, known for its rugged cliffs and seabird habitats.
-
D.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
E.
Príncipe Island
Príncipe Island is a small, lush volcanic island in the Gulf of Guinea that forms part of the Central African island nation of São Tomé and Príncipe.
- 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: Orissaare Triple: [Saare County, hasSettlement, Orissaare]
Generated description
Orissaare is a small town in western Estonia known for its coastal location on the island of Saaremaa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orissaare Target entity description: Orissaare is a small town in western Estonia known for its coastal location on the island of Saaremaa.
-
A.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
B.
Schwedeninsel
Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
-
C.
Ilhéu de Ferro
Ilhéu de Ferro is a small uninhabited rocky islet off the coast of Porto Santo in the Madeira archipelago of Portugal, known for its rugged cliffs and seabird habitats.
-
D.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
E.
Príncipe Island
Príncipe Island is a small, lush volcanic island in the Gulf of Guinea that forms part of the Central African island nation of São Tomé and Príncipe.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc76fd481908cc3f327e532a1a6 |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1085ac1bc8190a828d3841098cc23 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c10aab4d0c8190ae467f8c7c945196 |
completed | March 23, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10b19705c8190a1d9ee17b1c5833f |
completed | March 23, 2026, 9:42 a.m. |
Created at: March 22, 2026, 4:04 p.m.