Triple
T13811099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Plata |
E331889
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Sosúa
Sosúa is a coastal town in the Dominican Republic known for its beaches, tourism, and historical Jewish refugee community.
|
E1062170
|
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: Sosúa | Statement: [Puerto Plata, near, Sosúa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sosúa Context triple: [Puerto Plata, near, Sosúa]
-
A.
Cosío
Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
-
B.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
-
C.
Rabassa
Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
-
D.
Ocaña
Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
-
E.
Ocaña
Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
- 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: Sosúa Triple: [Puerto Plata, near, Sosúa]
Generated description
Sosúa is a coastal town in the Dominican Republic known for its beaches, tourism, and historical Jewish refugee community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sosúa Target entity description: Sosúa is a coastal town in the Dominican Republic known for its beaches, tourism, and historical Jewish refugee community.
-
A.
Cosío
Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
-
B.
Nalón
The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
-
C.
Rabassa
Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
-
D.
Ocaña
Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
-
E.
Ocaña
Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b09161108190abbd97a30af9ab49 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138fda88190b2b7ffb51ce02a40 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b28ca218819097fc35042d3b278a |
completed | May 3, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:12 p.m.