Triple
T6529519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of San Juan |
E152189
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Isla Verde |
E15859
|
NE FINISHED |
How this triple was built (2 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: Isla Verde | Statement: [Port of San Juan, near, Isla Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isla Verde Context triple: [Port of San Juan, near, Isla Verde]
-
A.
Isla Verde
chosen
Isla Verde is a popular beachfront district in the metropolitan area of San Juan, Puerto Rico, known for its resorts, nightlife, and sandy shores.
-
B.
Isla Carmen
Isla Carmen is a large, sparsely populated Mexican island in the Gulf of California known for its desert landscapes, rich marine life, and role in ecotourism and sport fishing.
-
C.
Isla San Lorenzo
Isla San Lorenzo is a large, sparsely inhabited island in Mexico’s Gulf of California known for its arid desert landscapes and rich surrounding marine biodiversity.
-
D.
Isla San Marcos
Isla San Marcos is a small Mexican island in the Gulf of California known for its gypsum mining operations and surrounding rich marine biodiversity.
-
E.
Isla Teja
Isla Teja is a river island in the city of Valdivia in southern Chile, known for hosting parts of the Universidad Austral de Chile and several cultural and natural attractions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adaafbfc8190a3e3c75ea5958c67 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd04f80fc8190aae7c4823ddecb4a |
completed | April 3, 2026, 2:35 p.m. |
Created at: March 27, 2026, 1:46 p.m.