Triple
T4358366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chihuahua City |
E98604
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
Caudillos de Chihuahua
Caudillos de Chihuahua is a professional American football team based in Chihuahua City, Mexico.
|
E432979
|
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: Caudillos de Chihuahua | Statement: [Chihuahua City, hasSportsTeam, Caudillos de Chihuahua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caudillos de Chihuahua Context triple: [Chihuahua City, hasSportsTeam, Caudillos de Chihuahua]
-
A.
Madero
Madero is a coastal city in the Mexican state of Tamaulipas, known for its oil industry and the popular Miramar Beach on the Gulf of Mexico.
-
B.
Hidalgo
Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
-
C.
Hidalgo
Hidalgo is a major Mexico City Metro station that serves as an important transfer point between multiple lines in the city’s rapid transit system.
-
D.
Hidalgo
Hidalgo is a 2004 adventure Western film starring Viggo Mortensen as a long-distance rider competing in a grueling desert horse race.
-
E.
Juárez
Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
- 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: Caudillos de Chihuahua Triple: [Chihuahua City, hasSportsTeam, Caudillos de Chihuahua]
Generated description
Caudillos de Chihuahua is a professional American football team based in Chihuahua City, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caudillos de Chihuahua Target entity description: Caudillos de Chihuahua is a professional American football team based in Chihuahua City, Mexico.
-
A.
Madero
Madero is a coastal city in the Mexican state of Tamaulipas, known for its oil industry and the popular Miramar Beach on the Gulf of Mexico.
-
B.
Hidalgo
Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
-
C.
Hidalgo
Hidalgo is a major Mexico City Metro station that serves as an important transfer point between multiple lines in the city’s rapid transit system.
-
D.
Hidalgo
Hidalgo is a 2004 adventure Western film starring Viggo Mortensen as a long-distance rider competing in a grueling desert horse race.
-
E.
Juárez
Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c7fa1881908bdc844a7142eb65 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbcb6188190a8a4da6a080f0d61 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc7763488190b056ba759ac9fa73 |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd07854c8190ac55586d245028a6 |
completed | March 14, 2026, 10:11 p.m. |
Created at: March 12, 2026, 11:16 p.m.