Triple
T3101995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnøy |
E64739
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Ombo
Ombo is a large island in Rogaland county, Norway, known for its rural landscapes, agriculture, and coastal scenery.
|
E326700
|
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: Ombo | Statement: [Finnøy, hasIsland, Ombo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ombo Context triple: [Finnøy, hasIsland, Ombo]
-
A.
Kenuzi-Dongola
Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
-
B.
Kom Ombo
Kom Ombo is an Egyptian town on the Nile best known for its unique double temple dedicated to the gods Sobek and Horus.
-
C.
Dongola
Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
-
D.
Awka
Awka is the capital city of Anambra State in southeastern Nigeria, known as a historic center of blacksmithing and regional commerce.
-
E.
Lake Manzala
Lake Manzala is a large, shallow coastal lagoon in northeastern Egypt along the Mediterranean Sea, known for its fisheries and proximity to the Suez Canal region.
- 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: Ombo Triple: [Finnøy, hasIsland, Ombo]
Generated description
Ombo is a large island in Rogaland county, Norway, known for its rural landscapes, agriculture, and coastal scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ombo Target entity description: Ombo is a large island in Rogaland county, Norway, known for its rural landscapes, agriculture, and coastal scenery.
-
A.
Kenuzi-Dongola
Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
-
B.
Kom Ombo
Kom Ombo is an Egyptian town on the Nile best known for its unique double temple dedicated to the gods Sobek and Horus.
-
C.
Dongola
Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
-
D.
Awka
Awka is the capital city of Anambra State in southeastern Nigeria, known as a historic center of blacksmithing and regional commerce.
-
E.
Lake Manzala
Lake Manzala is a large, shallow coastal lagoon in northeastern Egypt along the Mediterranean Sea, known for its fisheries and proximity to the Suez Canal region.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203809fac81908047b1139b13cb04 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20532b7388190be5f7bcf48db6f45 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2058d7c4c8190a44fc8745df3b1b3 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:03 p.m.