Triple
T18492662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulum Valley |
E451854
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | San Juan Department (partly) |
—
|
NE NERFINISHED |
How this triple was built (3 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: San Juan Department (partly) | Statement: [Tulum Valley, administrativeDivision, San Juan Department (partly)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Juan Department (partly) Context triple: [Tulum Valley, administrativeDivision, San Juan Department (partly)]
-
A.
Río San Juan Department
Río San Juan Department is an administrative region in southern Nicaragua known for its namesake river, rich biodiversity, and position along the border with Costa Rica.
-
B.
San Vicente Department
San Vicente Department is an administrative region in central El Salvador known for its agricultural economy and as the site of significant events during the country’s civil war.
-
C.
Santa María Department
Santa María Department is an administrative division in Argentina’s Catamarca Province, known for its Andean landscapes, archaeological heritage, and wine-producing valleys.
-
D.
Maldonado Department
Maldonado Department is an administrative region in southeastern Uruguay known for its Atlantic coastline, tourism industry, and popular resort city Punta del Este.
-
E.
Magdalena Department
Magdalena Department is a coastal administrative region in northern Colombia known for its Caribbean shoreline, the city of Santa Marta, and its diverse ecosystems ranging from beaches to the Sierra Nevada mountains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Juan Department (partly) Target entity description: San Juan Department (partly) is an administrative division in the San Juan Province of western Argentina, known for its wine-producing valleys, arid landscapes, and growing urban centers.
-
A.
Río San Juan Department
Río San Juan Department is an administrative region in southern Nicaragua known for its namesake river, rich biodiversity, and position along the border with Costa Rica.
-
B.
San Vicente Department
San Vicente Department is an administrative region in central El Salvador known for its agricultural economy and as the site of significant events during the country’s civil war.
-
C.
Santa María Department
Santa María Department is an administrative division in Argentina’s Catamarca Province, known for its Andean landscapes, archaeological heritage, and wine-producing valleys.
-
D.
Maldonado Department
Maldonado Department is an administrative region in southeastern Uruguay known for its Atlantic coastline, tourism industry, and popular resort city Punta del Este.
-
E.
Magdalena Department
Magdalena Department is a coastal administrative region in northern Colombia known for its Caribbean shoreline, the city of Santa Marta, and its diverse ecosystems ranging from beaches to the Sierra Nevada mountains.
- F. None of above. chosen
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532be5e988190aae93a66f6e5f857 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:35 a.m.