Triple
T13506725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monteverde region |
E321030
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
San Ramón
San Ramón is a mid-sized city in Costa Rica’s Alajuela province known as a regional commercial and cultural hub in the country’s central highlands.
|
E1050368
|
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: San Ramón | Statement: [Monteverde region, nearbyCity, San Ramón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Ramón Context triple: [Monteverde region, nearbyCity, San Ramón]
-
A.
San Ramón
San Ramón is a commune in the Santiago Metropolitan Region of Chile, known primarily as a residential area within Greater Santiago.
-
B.
San Ramón
San Ramón is a locality within the municipality of Huixquilucan in the State of Mexico, forming part of the greater Mexico City metropolitan area.
-
C.
San Ramón
San Ramón is a small Nicaraguan town on Ometepe Island, known as a gateway for hiking and exploring the nearby Maderas Volcano and its surrounding natural attractions.
-
D.
San Ramón
San Ramón is a city that serves as the administrative and economic center of its surrounding region.
-
E.
San Jose de Buenavista
San Jose de Buenavista is a coastal municipality in the Philippines that serves as the capital of the province of Antique in the Western Visayas region.
- 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: San Ramón Triple: [Monteverde region, nearbyCity, San Ramón]
Generated description
San Ramón is a mid-sized city in Costa Rica’s Alajuela province known as a regional commercial and cultural hub in the country’s central highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Ramón Target entity description: San Ramón is a mid-sized city in Costa Rica’s Alajuela province known as a regional commercial and cultural hub in the country’s central highlands.
-
A.
San Ramón
San Ramón is a commune in the Santiago Metropolitan Region of Chile, known primarily as a residential area within Greater Santiago.
-
B.
San Ramón
San Ramón is a locality within the municipality of Huixquilucan in the State of Mexico, forming part of the greater Mexico City metropolitan area.
-
C.
San Ramón
San Ramón is a small Nicaraguan town on Ometepe Island, known as a gateway for hiking and exploring the nearby Maderas Volcano and its surrounding natural attractions.
-
D.
San Ramón
San Ramón is a city that serves as the administrative and economic center of its surrounding region.
-
E.
San Jose de Buenavista
San Jose de Buenavista is a coastal municipality in the Philippines that serves as the capital of the province of Antique in the Western Visayas region.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8239c481909faf5a9c403b55f2 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f7800caaf0819085e553f96a9f99cf |
completed | May 3, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78089050c81909943164d1a41a37f |
completed | May 3, 2026, 5:06 p.m. |
Created at: April 9, 2026, 9:43 p.m.