Triple
T3234977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guna Yala |
E67831
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | El Porvenir |
E339535
|
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: El Porvenir | Statement: [Guna Yala, largestSettlement, El Porvenir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Porvenir Context triple: [Guna Yala, largestSettlement, El Porvenir]
-
A.
El Porvenir
chosen
El Porvenir is a small Caribbean coastal town in Panama that serves as the administrative center of the indigenous Guna Yala comarca.
-
B.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
C.
Puerto Gaitán
Puerto Gaitán is a Colombian town and municipality known for its oil production, cattle ranching, and location in the eastern plains (Llanos) region.
-
D.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
E.
Paso de Agua Negra
Paso de Agua Negra is a high-altitude mountain pass in the Andes connecting Argentina and Chile, known for its extreme elevation and challenging driving conditions.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaede0bdc8190a466f11bf2c50836 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ea696a08190a17cbeeef7632977 |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:08 p.m.