Triple
T13427384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayo language |
E313516
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Sinaloan Mayo
Sinaloan Mayo is a regional variety of the Mayo language spoken by Mayo communities in the Mexican state of Sinaloa.
|
E1038366
|
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: Sinaloan Mayo | Statement: [Mayo language, hasDialects, Sinaloan Mayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinaloan Mayo Context triple: [Mayo language, hasDialects, Sinaloan Mayo]
-
A.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
-
B.
Saldívar
Saldívar is the surname of Yolanda Saldívar, who is infamously known for murdering Tejano singer Selena Quintanilla-Pérez.
-
C.
Escovedo
Escovedo is a surname most prominently associated with the musical family of percussionist and singer Sheila E.
-
D.
Autlán de Navarro
Autlán de Navarro is a municipality and city in the Mexican state of Jalisco, known for its agricultural economy and traditional cultural festivities.
-
E.
Blanquillos
Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
- 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: Sinaloan Mayo Triple: [Mayo language, hasDialects, Sinaloan Mayo]
Generated description
Sinaloan Mayo is a regional variety of the Mayo language spoken by Mayo communities in the Mexican state of Sinaloa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sinaloan Mayo Target entity description: Sinaloan Mayo is a regional variety of the Mayo language spoken by Mayo communities in the Mexican state of Sinaloa.
-
A.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
-
B.
Saldívar
Saldívar is the surname of Yolanda Saldívar, who is infamously known for murdering Tejano singer Selena Quintanilla-Pérez.
-
C.
Escovedo
Escovedo is a surname most prominently associated with the musical family of percussionist and singer Sheila E.
-
D.
Autlán de Navarro
Autlán de Navarro is a municipality and city in the Mexican state of Jalisco, known for its agricultural economy and traditional cultural festivities.
-
E.
Blanquillos
Blanquillos is a popular nickname for the Spanish football club Real Zaragoza, referring to the team’s traditional white kit.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed1f9208190bf5ef5b8a7ded376 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730883cb48190add9469c48dc3e89 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:40 p.m.