Triple
T15630436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodoselo |
E375796
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Sarreaus
Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
|
E1168839
|
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: Sarreaus | Statement: [Lodoselo, locatedIn, Sarreaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarreaus Context triple: [Lodoselo, locatedIn, Sarreaus]
-
A.
Sarrien
Sarrien is a French surname most notably borne by Ferdinand Sarrien, a politician who served as Prime Minister of France in the early 20th century.
-
B.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
-
C.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
D.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
-
E.
Sarneraa
Sarneraa is a river in the canton of Obwalden in central Switzerland that drains Lake Lungern and flows northward toward Lake Lucerne.
- 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: Sarreaus Triple: [Lodoselo, locatedIn, Sarreaus]
Generated description
Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarreaus Target entity description: Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
-
A.
Sarrien
Sarrien is a French surname most notably borne by Ferdinand Sarrien, a politician who served as Prime Minister of France in the early 20th century.
-
B.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
-
C.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
D.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
-
E.
Sarneraa
Sarneraa is a river in the canton of Obwalden in central Switzerland that drains Lake Lungern and flows northward toward Lake Lucerne.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff636c481881909e76e1f0b5c8dbce |
completed | May 9, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff640112988190843c0739c8e1dc45 |
completed | May 9, 2026, 4:42 p.m. |
Created at: April 10, 2026, 4:14 a.m.