Triple
T2581499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toa Alta |
E57100
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Vega Alta |
E265244
|
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: Vega Alta | Statement: [Toa Alta, hasBorderWith, Vega Alta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vega Alta Context triple: [Toa Alta, hasBorderWith, Vega Alta]
-
A.
Vega Alta
chosen
Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
-
B.
Guamo
Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
-
C.
Picota
Picota is a notable locality in the mountainous Monchique region of southern Portugal, known for its scenic rural landscape and proximity to the Serra de Monchique.
-
D.
Calimete
Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
-
E.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657cc2b08190a9055d6da7744851 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.