Triple
T2380813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Michoacán |
E46305
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Uruapan
Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
|
E332778
|
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: Uruapan | Statement: [State of Michoacán, containsCity, Uruapan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uruapan Context triple: [State of Michoacán, containsCity, Uruapan]
-
A.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
B.
Tepatitlán de Morelos
Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
-
C.
Tepic
Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
-
D.
Juanacatlán
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
E.
Ciudad Guzmán
Ciudad Guzmán is a city in western Mexico known as an important agricultural and commercial center in the southern region of the state of Jalisco.
- 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: Uruapan Triple: [State of Michoacán, containsCity, Uruapan]
Generated description
Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uruapan Target entity description: Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
-
A.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
B.
Tepatitlán de Morelos
Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
-
C.
Tepic
Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
-
D.
Juanacatlán
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
E.
Ciudad Guzmán
Ciudad Guzmán is a city in western Mexico known as an important agricultural and commercial center in the southern region of the state of Jalisco.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b7c9188190a824e4b469bc1548 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2356752c08190aac1b36f6c14ad8c |
completed | March 12, 2026, 3:39 a.m. |
| NEDg | Description generation | batch_69b236962ee48190b37836e5fe6dbc37 |
completed | March 12, 2026, 3:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 4, 2026, 7:57 p.m.