Triple
T2562010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San José Agreement |
E57261
|
entity |
| Predicate | locationSigned |
P441
|
FINISHED |
| Object | San José, Costa Rica |
E29798
|
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: San José, Costa Rica | Statement: [San José Agreement, locationSigned, San José, Costa Rica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San José, Costa Rica Context triple: [San José Agreement, locationSigned, San José, Costa Rica]
-
A.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
B.
Juigalpa
Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
-
C.
San José
chosen
San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
-
D.
San José
San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
-
E.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd336183c819084ed7de8ccc4c548 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d264db481908e9dc3b5e2e8260a |
completed | March 9, 2026, 11:52 p.m. |
Created at: March 6, 2026, 9:48 p.m.