Triple
T10644951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osona |
E250812
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Seva
Seva is a small municipality in the comarca of Osona in the province of Barcelona, Catalonia, Spain.
|
E878101
|
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: Seva | Statement: [Osona, contains, Seva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seva Context triple: [Osona, contains, Seva]
-
A.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
B.
Savitrī
Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
-
C.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
D.
Kshipra
Kshipra is a sacred river in central India, best known for flowing through the holy city of Ujjain and its importance in Hindu religious traditions and festivals.
-
E.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
- 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: Seva Triple: [Osona, contains, Seva]
Generated description
Seva is a small municipality in the comarca of Osona in the province of Barcelona, Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seva Target entity description: Seva is a small municipality in the comarca of Osona in the province of Barcelona, Catalonia, Spain.
-
A.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
B.
Savitrī
Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
-
C.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
D.
Kshipra
Kshipra is a sacred river in central India, best known for flowing through the holy city of Ujjain and its importance in Hindu religious traditions and festivals.
-
E.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a580d388190aea5edadd4afc0d1 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.