Triple
T829374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durango |
E17928
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Duranguense
Duranguense refers to a person from the Mexican state of Durango, or to things associated with that region and its culture.
|
E96529
|
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: Duranguense | Statement: [Durango, hasDemonym, Duranguense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duranguense Context triple: [Durango, hasDemonym, Duranguense]
-
A.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
B.
Tepehuan
The Tepehuan are an Indigenous people of northern Mexico, known for their distinct Uto-Aztecan language, traditional agriculture, and communities in the Sierra Madre Occidental.
-
C.
Kaqchikel
Kaqchikel is a Mayan language spoken primarily by the Kaqchikel people in the central highlands of Guatemala.
-
D.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
-
E.
U.S. Cocopa
U.S. Cocopa is a regional dialect of the Cocopa language spoken by Cocopah communities in the United States.
- 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: Duranguense Triple: [Durango, hasDemonym, Duranguense]
Generated description
Duranguense refers to a person from the Mexican state of Durango, or to things associated with that region and its culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duranguense Target entity description: Duranguense refers to a person from the Mexican state of Durango, or to things associated with that region and its culture.
-
A.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
B.
Tepehuan
The Tepehuan are an Indigenous people of northern Mexico, known for their distinct Uto-Aztecan language, traditional agriculture, and communities in the Sierra Madre Occidental.
-
C.
Kaqchikel
Kaqchikel is a Mayan language spoken primarily by the Kaqchikel people in the central highlands of Guatemala.
-
D.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
-
E.
U.S. Cocopa
U.S. Cocopa is a regional dialect of the Cocopa language spoken by Cocopah communities in the United States.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab9b458881909aa23f0eb7cbc87f |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
Created at: March 1, 2026, 7:38 p.m.