Triple
T15882990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Domingo |
E385119
|
entity |
| Predicate | locatedWestOf |
P4239
|
FINISHED |
| Object |
Santiago
Santiago is the second-largest city in the Dominican Republic and a major economic and cultural center in the country's northern Cibao region.
|
E773280
|
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: Santiago | Statement: [Santo Domingo, locatedWestOf, Santiago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santiago Context triple: [Santo Domingo, locatedWestOf, Santiago]
-
A.
Santiago
Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
-
B.
Santiago
Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
-
C.
Santiago
Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
-
D.
Santiago
Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist."
-
E.
Santiago
Santiago is the capital and largest city of Cape Verde, located on the island of Santiago in the central Atlantic Ocean.
- 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: Santiago Triple: [Santo Domingo, locatedWestOf, Santiago]
Generated description
Santiago is the second-largest city in the Dominican Republic and a major economic and cultural center in the country's northern Cibao region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santiago Target entity description: Santiago is the second-largest city in the Dominican Republic and a major economic and cultural center in the country's northern Cibao region.
-
A.
Santiago
chosen
Santiago is the second-largest city in the Dominican Republic, known as a major cultural, economic, and industrial center in the Cibao region.
-
B.
Santiago
Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
-
C.
Santiago
Santiago is a city in western Guatemala near the Santiaguito lava dome complex, known for its proximity to significant volcanic activity.
-
D.
Santiago
Santiago is the largest and most populous island of Cape Verde, home to the nation’s capital city, Praia, and its main political and economic activities.
-
E.
Santiago
Santiago is the capital and largest city of Cape Verde, located on the island of Santiago in the central Atlantic Ocean.
- F. None of above.
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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156173e248190901641d838ecb40f |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79031f88190bf129582deeed3b9 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff83b56288190a139f6fbf7b4d1b3 |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff89eb66481909441b9bdfcada550 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 4:51 a.m.