Triple
T1474476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonora |
E30806
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
|
E172151
|
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: Cajeme | Statement: [Sonora, hasMajorCity, Cajeme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cajeme Context triple: [Sonora, hasMajorCity, Cajeme]
-
A.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
B.
Cauqui
Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
-
C.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
D.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
E.
Mariquina
Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
- 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: Cajeme Triple: [Sonora, hasMajorCity, Cajeme]
Generated description
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cajeme Target entity description: Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
A.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
B.
Cauqui
Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
-
C.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
D.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
E.
Mariquina
Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6011d248190988380eca4ecf514 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad232ab26c8190aa9fc95ff2fcf0eb |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23b8d570819099b953c7a60e9445 |
completed | March 8, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad248193ec8190b0c08ef979661af0 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 1, 2026, 8:11 p.m.