Triple
T12590154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera de la Costa Central |
E300581
|
entity |
| Predicate | locatedInState |
P40
|
FINISHED |
| Object |
Vargas
Vargas is a coastal state in northern Venezuela known for its Caribbean shoreline, proximity to Caracas, and role as a key transport and tourism hub.
|
E993344
|
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: Vargas | Statement: [Cordillera de la Costa Central, locatedInState, Vargas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vargas Context triple: [Cordillera de la Costa Central, locatedInState, Vargas]
-
A.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
B.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
C.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
D.
Vázquez
Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
-
E.
Vásquez
Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
- 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: Vargas Triple: [Cordillera de la Costa Central, locatedInState, Vargas]
Generated description
Vargas is a coastal state in northern Venezuela known for its Caribbean shoreline, proximity to Caracas, and role as a key transport and tourism hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vargas Target entity description: Vargas is a coastal state in northern Venezuela known for its Caribbean shoreline, proximity to Caracas, and role as a key transport and tourism hub.
-
A.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
B.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
C.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
D.
Vázquez
Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
-
E.
Vásquez
Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec0a60c8190948706e8b2fcc0ad |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f662cc2a208190870e2099a8bb5d04 |
completed | May 2, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6638319d48190ba73480ce6e91d83 |
completed | May 2, 2026, 8:50 p.m. |
Created at: April 9, 2026, 5:07 p.m.