Triple
T22671629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo de Cariñena comarca |
E560230
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Tosos
Tosos is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
|
E1548448
|
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: Tosos | Statement: [Campo de Cariñena comarca, hasMunicipality, Tosos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosos Context triple: [Campo de Cariñena comarca, hasMunicipality, Tosos]
-
A.
Tose
Tose is a Japanese video game development company known for its extensive behind-the-scenes work creating and co-developing titles for major publishers without usually taking public credit.
-
B.
Tose
Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
-
C.
Tosora
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
-
D.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
E.
Toses
Toses is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its Pyrenean landscapes and traditional rural character.
- 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: Tosos Triple: [Campo de Cariñena comarca, hasMunicipality, Tosos]
Generated description
Tosos is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tosos Target entity description: Tosos is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
-
A.
Tose
Tose is a Japanese video game development company known for its extensive behind-the-scenes work creating and co-developing titles for major publishers without usually taking public credit.
-
B.
Tose
Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
-
C.
Tosora
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
-
D.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
E.
Toses
Toses is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its Pyrenean landscapes and traditional rural character.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17820a8088190bc0ce907adf95863 |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73eb35c4819083a5de1f2979b521 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b745f36708190af2a61f501c18c78 |
completed | May 18, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b74ebf8c08190bc3f2bd0b442ef9c |
completed | May 18, 2026, 8:22 p.m. |
Created at: April 17, 2026, 3:10 p.m.